Open In Colab

Installing requirements¶

The cell below installs every Python package needed to run this notebook, at fully pinned versions, using uv for fast resolution. In Colab the cell is collapsed by default — click the ▶ button to run it.

In [1]:
# install cell skipped during CI (deps preinstalled into system Python)

⚠️ Restart runtime after install

The install may upgrade packages already loaded in the kernel. Go to Runtime → Restart session, then Run all cells below (skip this install cell on re-run).

Vu 2024 demo¶

This tutorial demonstrates how to access an NWB file from the Vu 2024 dataset using pynwb.

This dataset contains fiber photometry recordings from multi-fiber arrays implanted in the striatum of head-fixed mice running on a treadmill.

Streaming an NWB file¶

This section demonstrates how to access the files on the DANDI Archive without downloading them. Based on the Streaming NWB files tutorial from PyNWB.

The dandi.dandiapi.DandiAPIClient can be used to get the S3 URL of the NWB file stored in the DANDI Archive.

In [2]:
from dandi.dandiapi import DandiAPIClient

client = DandiAPIClient.for_dandi_instance("dandi")

dandiset_id = "001084"
file_path = "sub-DL18/sub-DL18_ses-211110_image+ophys.nwb"

with DandiAPIClient() as client:
    asset = client.get_dandiset(dandiset_id, 'draft').get_asset_by_path(file_path)
    s3_url = asset.get_content_url(follow_redirects=1, strip_query=True)

We will use remfile for streaming the file. You can read more about remfile at this tutorial section.

In [3]:
import h5py
from pynwb import NWBHDF5IO
import remfile

# We stream the file using remfile and open it with h5py and pynwb
file = remfile.File(s3_url)
h5_file = h5py.File(file, "r")
io = NWBHDF5IO(file=h5_file, load_namespaces=True)

nwbfile = io.read()
/opt/hostedtoolcache/Python/3.13.15/x64/lib/python3.13/site-packages/hdmf/spec/namespace.py:620: UserWarning: Ignoring the following cached namespace(s) because another version is already loaded:
core - cached version: 2.7.0, loaded version: 2.8.0
The loaded extension(s) may not be compatible with the cached extension(s) in the file. Please check the extension documentation and ignore this warning if these versions are compatible.
  self.warn_for_ignored_namespaces(ignored_namespaces)

Access subject metadata¶

This section demonstrates how to access the Subject field in an NWBFile.

The Subject field can be accessed as nwbfile.subject.

In [4]:
nwbfile.subject
Out[4]:

subject (Subject)

age__reference: birth
genotype: wildtype
sex: F
species: Mus musculus
subject_id: DL18
date_of_birth2021-04-21 00:00:00-04:00
strain: C57BL/6J - Jackson Labs 000664

Access raw imaging¶

This section demonstrates how to access the imaging data in the NWBFile.

NWB organizes data into different groups depending on the type of data. Groups can be thought of as folders within the file. Here are some of the groups within an NWBFile and the types of data they are intended to store:

  • acquisition: raw, acquired data that should never change
  • processing: processed data, typically the results of preprocessing algorithms and could change

Fiber array imaging¶

The fiber bundle imaging data was acquired using HCImage Live (Hamamatsu) at 30 Hz. It is stored in a pynwb.ophys.OnePhotonSeries object which is added to nwbfile.acquisition.

In [5]:
one_photon_series = nwbfile.acquisition["OnePhotonSeriesGreen"]
one_photon_series
Out[5]:

OnePhotonSeriesGreen (OnePhotonSeries)

starting_time: 0.7785000000000001
rate: 29.99490086685263
resolution: -1.0
comments: no comments
description: Fiber bundle imaging acquired using HCImage Live (Hamamatsu). Single wavelength excitation and emission was performed with continuous, internally triggered imaging at 30Hz.
conversion: 1.0
offset: 0.0
unit: n.a.
data
HDF5 dataset
Data typeuint16
Shape(40000, 376, 375)
Array size10.51 GiB
Chunk shape(35, 376, 375)
Compressiongzip
Compression opts4
Uncompressed size (bytes)11280000000
Compressed size (bytes)9213518925
Compression ratio1.2242879286211483
starting_time_unit: seconds
dimension
HDF5 dataset
Data typeint64
Shape(2,)
Array size16.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Uncompressed size (bytes)16
Compressed size (bytes)16
Compression ratio1.0

[375 376]
imaging_plane (ImagingPlane)
optical_channel
0 (OpticalChannel)
description: An optical channel of the microscope.
emission_lambda: 511.0
description: Imaging plane for the one-photon microscope.
device (Device)
description: The microscope (Hamamatsu Orca Fusion BT Gen III) used to acquire the image of the fiber bundle.
manufacturer: Hamamatsu Photonics
excitation_lambda: 470.0
indicator: dLight1.3b
location: STR
conversion: 1.0
unit: meters
origin_coords_unit: meters
grid_spacing_unit: meters

The information about the imaging plane can accessed as nwbfile.acquisition["OnePhotonSeries"].imaging_plane or nwbfile.imaging_planes["ImagingPlane"].

In [6]:
nwbfile.imaging_planes["ImagingPlaneGreen"]
Out[6]:

ImagingPlaneGreen (ImagingPlane)

optical_channel
0 (OpticalChannel)
description: An optical channel of the microscope.
emission_lambda: 511.0
description: Imaging plane for the one-photon microscope.
device (Device)
description: The microscope (Hamamatsu Orca Fusion BT Gen III) used to acquire the image of the fiber bundle.
manufacturer: Hamamatsu Photonics
excitation_lambda: 470.0
indicator: dLight1.3b
location: STR
conversion: 1.0
unit: meters
origin_coords_unit: meters
grid_spacing_unit: meters
In [7]:
# Visualize the imaging data.

from matplotlib import pyplot as plt

frame = one_photon_series.data[50]
plt.imshow(frame)
plt.title("Raw Fiber Array Imaging")
plt.show()
No description has been provided for this image

Fiber photometry traces¶

The raw fluorescence traces from the multi-fiber array are added to nwbfile.acquisition and are stored in a FiberPhotometryResponseSeries object using ndx-fiber-photometry. The fluorescence data during 470 nm excitation can be accessed as nwbfile.acquisition["FiberPhotometryResponseSeriesGreen"].

In [8]:
fiber_photometry_response_series = nwbfile.acquisition["FiberPhotometryResponseSeriesGreen"]
In [9]:
import pandas as pd
from matplotlib import pyplot as plt

# Prepare data for plotting
fiber_indices = [0, 4]
data = fiber_photometry_response_series.data[100:500, fiber_indices]
timestamps = fiber_photometry_response_series.get_timestamps()[100:500]

fig, axes = plt.subplots(nrows=data.shape[1], ncols=1, figsize=(8, 3), sharey=True, sharex=True, dpi=300)

for i, ax in enumerate(axes):
    ax.plot(timestamps, data[:, i], linewidth=0.5, color="green")

    ax.tick_params(axis='y', labelsize=8)
    ax.tick_params(axis='x', labelsize=8)

    ax.legend([f"Fiber {i+1}"], frameon=False, bbox_to_anchor=(.95, 1), loc='upper left', prop={'size': 8})

    ax.spines['top'].set_visible(False)
    ax.spines['right'].set_visible(False)

axes[0].spines['bottom'].set_visible(False)
axes[0].set_title("Raw fluorescence traces", fontsize=8)
plt.xlabel('Time (s)', fontsize=8)
plt.tick_params(axis='x', labelsize=8)

plt.tight_layout()
plt.show()
No description has been provided for this image

Fiber photometry metadata¶

The fiber photometry metadata includes the type of indicator(s), optical fiber(s), excitation source(s), photodector(s), dichroic mirror(s), and optical filter(s) that were used to construct a single fluorescence signal.

The metadata is stored in a FiberPhotometryTable object using ndx-fiber-photometry and is added to nwbfile.lab_meta_data. It can be accessed as nwbfile.lab_meta_data["FiberPhotometry"].fiber_photometry_table.

In [10]:
nwbfile.lab_meta_data["FiberPhotometry"].fiber_photometry_table[:]
Out[10]:
location indicator optical_fiber excitation_source photodetector dichroic_mirror allen_atlas_coordinates included coordinates emission_filter excitation_filter
id
0 Caudoputamen dLight1.3b abc.Indicator at 0x140603529377984\... FiberArray abc.OpticalFiber at 0x1406035293773... ExcitationSource470 abc.ExcitationSource at 0x... CMOSCamera pynwb.device.Device at 0x1406035301... DichroicMirror1 abc.DichroicMirror at 0x140603... [442, 644, 229] False [0.83, 0.74, 1.78] OpticalFilter525 abc.BandOpticalFilter at 0x14... OpticalFilter470 abc.BandOpticalFilter at 0x14...
1 Caudoputamen dLight1.3b abc.Indicator at 0x140603529377984\... FiberArray abc.OpticalFiber at 0x1406035293773... ExcitationSource470 abc.ExcitationSource at 0x... CMOSCamera pynwb.device.Device at 0x1406035301... DichroicMirror1 abc.DichroicMirror at 0x140603... [454, 642, 304] False [0.71, 0.72, 2.44] OpticalFilter525 abc.BandOpticalFilter at 0x14... OpticalFilter470 abc.BandOpticalFilter at 0x14...
2 Primary motor area Layer 6a dLight1.3b abc.Indicator at 0x140603529377984\... FiberArray abc.OpticalFiber at 0x1406035293773... ExcitationSource470 abc.ExcitationSource at 0x... CMOSCamera pynwb.device.Device at 0x1406035301... DichroicMirror1 abc.DichroicMirror at 0x140603... [460, 674, 180] False [0.65, 1.04, 1.35] OpticalFilter525 abc.BandOpticalFilter at 0x14... OpticalFilter470 abc.BandOpticalFilter at 0x14...
3 Caudoputamen dLight1.3b abc.Indicator at 0x140603529377984\... FiberArray abc.OpticalFiber at 0x1406035293773... ExcitationSource470 abc.ExcitationSource at 0x... CMOSCamera pynwb.device.Device at 0x1406035301... DichroicMirror1 abc.DichroicMirror at 0x140603... [495, 685, 260] False [0.3, 1.15, 2.05] OpticalFilter525 abc.BandOpticalFilter at 0x14... OpticalFilter470 abc.BandOpticalFilter at 0x14...
4 Primary motor area Layer 6a dLight1.3b abc.Indicator at 0x140603529377984\... FiberArray abc.OpticalFiber at 0x1406035293773... ExcitationSource470 abc.ExcitationSource at 0x... CMOSCamera pynwb.device.Device at 0x1406035301... DichroicMirror1 abc.DichroicMirror at 0x140603... [400, 686, 160] False [1.25, 1.16, 1.17] OpticalFilter525 abc.BandOpticalFilter at 0x14... OpticalFilter470 abc.BandOpticalFilter at 0x14...
... ... ... ... ... ... ... ... ... ... ... ...
98 Caudoputamen dLight1.3b abc.Indicator at 0x140603529377984\... FiberArray abc.OpticalFiber at 0x1406035293773... ExcitationSource470 abc.ExcitationSource at 0x... CMOSCamera pynwb.device.Device at 0x1406035301... DichroicMirror1 abc.DichroicMirror at 0x140603... [433, 775, 249] False [0.92, 2.05, 1.96] OpticalFilter525 abc.BandOpticalFilter at 0x14... OpticalFilter470 abc.BandOpticalFilter at 0x14...
99 Caudoputamen dLight1.3b abc.Indicator at 0x140603529377984\... FiberArray abc.OpticalFiber at 0x1406035293773... ExcitationSource470 abc.ExcitationSource at 0x... CMOSCamera pynwb.device.Device at 0x1406035301... DichroicMirror1 abc.DichroicMirror at 0x140603... [444, 815, 381] True [0.81, 2.45, 3.12] OpticalFilter525 abc.BandOpticalFilter at 0x14... OpticalFilter470 abc.BandOpticalFilter at 0x14...
100 Caudoputamen dLight1.3b abc.Indicator at 0x140603529377984\... FiberArray abc.OpticalFiber at 0x1406035293773... ExcitationSource470 abc.ExcitationSource at 0x... CMOSCamera pynwb.device.Device at 0x1406035301... DichroicMirror1 abc.DichroicMirror at 0x140603... [457, 833, 280] False [0.68, 2.63, 2.23] OpticalFilter525 abc.BandOpticalFilter at 0x14... OpticalFilter470 abc.BandOpticalFilter at 0x14...
101 Primary somatosensory area mouth layer 6a dLight1.3b abc.Indicator at 0x140603529377984\... FiberArray abc.OpticalFiber at 0x1406035293773... ExcitationSource470 abc.ExcitationSource at 0x... CMOSCamera pynwb.device.Device at 0x1406035301... DichroicMirror1 abc.DichroicMirror at 0x140603... [482, 821, 396] False [0.43, 2.51, 3.25] OpticalFilter525 abc.BandOpticalFilter at 0x14... OpticalFilter470 abc.BandOpticalFilter at 0x14...
102 Primary motor area Layer 2/3 dLight1.3b abc.Indicator at 0x140603529377984\... FiberArray abc.OpticalFiber at 0x1406035293773... ExcitationSource470 abc.ExcitationSource at 0x... CMOSCamera pynwb.device.Device at 0x1406035301... DichroicMirror1 abc.DichroicMirror at 0x140603... [396, 791, 209] False [1.29, 2.21, 1.6] OpticalFilter525 abc.BandOpticalFilter at 0x14... OpticalFilter470 abc.BandOpticalFilter at 0x14...

103 rows × 11 columns

The fiber_photometry_table_region attribute in the FiberPhotometryResponseSeries object references row(s) of this table:

In [11]:
fiber_photometry_table_region = nwbfile.acquisition["FiberPhotometryResponseSeriesGreen"].fiber_photometry_table_region[:]
fiber_photometry_table_region.head()
Out[11]:
location indicator optical_fiber excitation_source photodetector dichroic_mirror allen_atlas_coordinates included coordinates emission_filter excitation_filter
id
0 Caudoputamen dLight1.3b abc.Indicator at 0x140603529377984\... FiberArray abc.OpticalFiber at 0x1406035293773... ExcitationSource470 abc.ExcitationSource at 0x... CMOSCamera pynwb.device.Device at 0x1406035301... DichroicMirror1 abc.DichroicMirror at 0x140603... [442, 644, 229] False [0.83, 0.74, 1.78] OpticalFilter525 abc.BandOpticalFilter at 0x14... OpticalFilter470 abc.BandOpticalFilter at 0x14...
1 Caudoputamen dLight1.3b abc.Indicator at 0x140603529377984\... FiberArray abc.OpticalFiber at 0x1406035293773... ExcitationSource470 abc.ExcitationSource at 0x... CMOSCamera pynwb.device.Device at 0x1406035301... DichroicMirror1 abc.DichroicMirror at 0x140603... [454, 642, 304] False [0.71, 0.72, 2.44] OpticalFilter525 abc.BandOpticalFilter at 0x14... OpticalFilter470 abc.BandOpticalFilter at 0x14...
2 Primary motor area Layer 6a dLight1.3b abc.Indicator at 0x140603529377984\... FiberArray abc.OpticalFiber at 0x1406035293773... ExcitationSource470 abc.ExcitationSource at 0x... CMOSCamera pynwb.device.Device at 0x1406035301... DichroicMirror1 abc.DichroicMirror at 0x140603... [460, 674, 180] False [0.65, 1.04, 1.35] OpticalFilter525 abc.BandOpticalFilter at 0x14... OpticalFilter470 abc.BandOpticalFilter at 0x14...
3 Caudoputamen dLight1.3b abc.Indicator at 0x140603529377984\... FiberArray abc.OpticalFiber at 0x1406035293773... ExcitationSource470 abc.ExcitationSource at 0x... CMOSCamera pynwb.device.Device at 0x1406035301... DichroicMirror1 abc.DichroicMirror at 0x140603... [495, 685, 260] False [0.3, 1.15, 2.05] OpticalFilter525 abc.BandOpticalFilter at 0x14... OpticalFilter470 abc.BandOpticalFilter at 0x14...
4 Primary motor area Layer 6a dLight1.3b abc.Indicator at 0x140603529377984\... FiberArray abc.OpticalFiber at 0x1406035293773... ExcitationSource470 abc.ExcitationSource at 0x... CMOSCamera pynwb.device.Device at 0x1406035301... DichroicMirror1 abc.DichroicMirror at 0x140603... [400, 686, 160] False [1.25, 1.16, 1.17] OpticalFilter525 abc.BandOpticalFilter at 0x14... OpticalFilter470 abc.BandOpticalFilter at 0x14...

The metadata on the optical fiber used to record the GCaMP fluorescence is added to nwbfile.devices and can be accessed as nwbfile.devices["FiberArray"] or can be accessed from the referenced optical fiber in the fiber_photometry_table_region of the FiberPhotometryResponseSeries.

In [12]:
fiber_photometry_table_region["optical_fiber"][0]
Out[12]:

FiberArray (OpticalFiber)

description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.
manufacturer: Fiber Optics Tech
model: not specified
numerical_aperture: 0.66
core_diameter_in_um: 34.0
In [13]:
fiber_photometry_table_region["indicator"][0]
Out[13]:

dLight1.3b (Indicator)

description: green dopamine sensor
label: pAAV-CAG-dLight1.3b(AAV5)
In [14]:
fiber_photometry_table_region["excitation_source"][0]
Out[14]:

ExcitationSource470 (ExcitationSource)

description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control) were coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip. Then, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator, each filtered with a corresponding filter.
manufacturer: Thorlabs
model: SOLIS-470C
illumination_type: LED
excitation_wavelength_in_nm: 470.0
In [15]:
fiber_photometry_table_region["photodetector"][0]
Out[15]:

CMOSCamera (Device)

description: A tube lens in each path (Thor labs, No TTL165-A) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.
manufacturer: Hamamatsu Photonics, Orca Fusion BT Gen III
In [16]:
fiber_photometry_table_region["dichroic_mirror"][0]
Out[16]:

DichroicMirror1 (DichroicMirror)

description: The dichroic mirror used to reflect green and pass red fluorescence
manufacturer: Chroma Tech Corp
cut_on_wavelength_in_nm: 532.0
reflection_band_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[405. 532.]
transmission_band_in_nm
NumPy array
Data typefloat64
Shape(2,)
Array size16.00 bytes

[545. 750.]
model: ZT532rdc
In [17]:
fiber_photometry_table_region["emission_filter"][0]
Out[17]:

OpticalFilter525 (BandOpticalFilter)

description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.
manufacturer: Chroma
center_wavelength_in_nm: 525.0
bandwidth_in_nm: 50.0
filter_type: Bandpass
model: 525/50m
In [18]:
fiber_photometry_table_region["excitation_filter"][0]
Out[18]:

OpticalFilter470 (BandOpticalFilter)

description: The band-pass filter used to isolate the 470 nm excitation light.
manufacturer: Chroma
center_wavelength_in_nm: 473.0
bandwidth_in_nm: 24.0
filter_type: Bandpass
model: ET473/24

Access processed fiber photometry data¶

This section demonstrates how to access the processed fiber photometry data in the NWBFile.

The processed fiber photometry data is stored in "processing/ophys" which can be accessed as nwbfile.processing["ophys"]. Within this processing module we can access the ∆F/F traces as nwbfile.processing["ophys"]["DfOverFFiberPhotometryResponseSeriesGreen"].

In [19]:
nwbfile.processing["ophys"]
Out[19]:

ophys (ProcessingModule)

description: Constains the processed imaging and fiber photometry data.
BaselineFiberPhotometryResponseSeriesGreen (FiberPhotometryResponseSeries)
starting_time: 0.7785000000000001
rate: 29.99490086685263
resolution: -1.0
comments: no comments
description: Baseline fluorescence traces acquired with multi-fiber array implanted in the striatum.
conversion: 1.0
offset: 0.0
unit: n.a.
data
HDF5 dataset
Data typefloat64
Shape(40000, 103)
Array size31.43 MiB
Chunk shape(21728, 56)
Compressiongzip
Compression opts4
Uncompressed size (bytes)32960000
Compressed size (bytes)4678796
Compression ratio7.044547357910027
starting_time_unit: seconds
fiber_photometry_table_region (DynamicTableRegion)
description: source fibers
table (FiberPhotometryTable)
description: Contains the metadata for the fiber photometry experiment.
columns
location
Location of fiber.
indicator
Link to the indicator object.
optical_fiber
Link to the optical fiber device.
excitation_source
Link to the excitation source device.
photodetector
Link to the photodetector device.
dichroic_mirror
Link to the dichroic mirror device.
allen_atlas_coordinates
The fiber tip coordinates (AP, ML, DV) in Allen Brain Atlas coordinates
included
Whether this fiber has been successfully implanted.
coordinates
Fiber placement in stereotactic coordinates (AP, ML, DV) mm relative to Bregma.
emission_filter
Link to the emission filter device.
excitation_filter
Link to the excitation filter device.
table
location indicator optical_fiber excitation_source photodetector dichroic_mirror allen_atlas_coordinates included coordinates emission_filter excitation_filter
id
0 Caudoputamen dLight1.3b abc.Indicator at 0x140603529377984\nFields:\n description: green dopamine sensor\n label: pAAV-CAG-dLight1.3b(AAV5)\n FiberArray abc.OpticalFiber at 0x140603529377312\nFields:\n core_diameter_in_um: 34.0\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\n manufacturer: Fiber Optics Tech\n model: not specified\n numerical_aperture: 0.66\n ExcitationSource470 abc.ExcitationSource at 0x140603529376976\nFields:\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\neach filtered with a corresponding filter.\n\n excitation_wavelength_in_nm: 470.0\n illumination_type: LED\n manufacturer: Thorlabs\n model: SOLIS-470C\n CMOSCamera pynwb.device.Device at 0x140603530107856\nFields:\n description: A tube lens in each path (Thor labs, No TTL165-A) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\n manufacturer: Hamamatsu Photonics, Orca Fusion BT Gen III\n DichroicMirror1 abc.DichroicMirror at 0x140603529376640\nFields:\n cut_on_wavelength_in_nm: 532.0\n description: The dichroic mirror used to reflect green and pass red fluorescence\n manufacturer: Chroma Tech Corp\n model: ZT532rdc\n reflection_band_in_nm: [405. 532.]\n transmission_band_in_nm: [545. 750.]\n [442, 644, 229] False [0.83, 0.74, 1.78] OpticalFilter525 abc.BandOpticalFilter at 0x140603530113296\nFields:\n bandwidth_in_nm: 50.0\n center_wavelength_in_nm: 525.0\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\n filter_type: Bandpass\n manufacturer: Chroma\n model: 525/50m\n OpticalFilter470 abc.BandOpticalFilter at 0x140603529377648\nFields:\n bandwidth_in_nm: 24.0\n center_wavelength_in_nm: 473.0\n description: The band-pass filter used to isolate the 470 nm excitation light.\n filter_type: Bandpass\n manufacturer: Chroma\n model: ET473/24\n
1 Caudoputamen dLight1.3b abc.Indicator at 0x140603529377984\nFields:\n description: green dopamine sensor\n label: pAAV-CAG-dLight1.3b(AAV5)\n FiberArray abc.OpticalFiber at 0x140603529377312\nFields:\n core_diameter_in_um: 34.0\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\n manufacturer: Fiber Optics Tech\n model: not specified\n numerical_aperture: 0.66\n ExcitationSource470 abc.ExcitationSource at 0x140603529376976\nFields:\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\neach filtered with a corresponding filter.\n\n excitation_wavelength_in_nm: 470.0\n illumination_type: LED\n manufacturer: Thorlabs\n model: SOLIS-470C\n CMOSCamera pynwb.device.Device at 0x140603530107856\nFields:\n description: A tube lens in each path (Thor labs, No TTL165-A) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\n manufacturer: Hamamatsu Photonics, Orca Fusion BT Gen III\n DichroicMirror1 abc.DichroicMirror at 0x140603529376640\nFields:\n cut_on_wavelength_in_nm: 532.0\n description: The dichroic mirror used to reflect green and pass red fluorescence\n manufacturer: Chroma Tech Corp\n model: ZT532rdc\n reflection_band_in_nm: [405. 532.]\n transmission_band_in_nm: [545. 750.]\n [454, 642, 304] False [0.71, 0.72, 2.44] OpticalFilter525 abc.BandOpticalFilter at 0x140603530113296\nFields:\n bandwidth_in_nm: 50.0\n center_wavelength_in_nm: 525.0\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\n filter_type: Bandpass\n manufacturer: Chroma\n model: 525/50m\n OpticalFilter470 abc.BandOpticalFilter at 0x140603529377648\nFields:\n bandwidth_in_nm: 24.0\n center_wavelength_in_nm: 473.0\n description: The band-pass filter used to isolate the 470 nm excitation light.\n filter_type: Bandpass\n manufacturer: Chroma\n model: ET473/24\n
2 Primary motor area Layer 6a dLight1.3b abc.Indicator at 0x140603529377984\nFields:\n description: green dopamine sensor\n label: pAAV-CAG-dLight1.3b(AAV5)\n FiberArray abc.OpticalFiber at 0x140603529377312\nFields:\n core_diameter_in_um: 34.0\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\n manufacturer: Fiber Optics Tech\n model: not specified\n numerical_aperture: 0.66\n ExcitationSource470 abc.ExcitationSource at 0x140603529376976\nFields:\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\neach filtered with a corresponding filter.\n\n excitation_wavelength_in_nm: 470.0\n illumination_type: LED\n manufacturer: Thorlabs\n model: SOLIS-470C\n CMOSCamera pynwb.device.Device at 0x140603530107856\nFields:\n description: A tube lens in each path (Thor labs, No TTL165-A) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\n manufacturer: Hamamatsu Photonics, Orca Fusion BT Gen III\n DichroicMirror1 abc.DichroicMirror at 0x140603529376640\nFields:\n cut_on_wavelength_in_nm: 532.0\n description: The dichroic mirror used to reflect green and pass red fluorescence\n manufacturer: Chroma Tech Corp\n model: ZT532rdc\n reflection_band_in_nm: [405. 532.]\n transmission_band_in_nm: [545. 750.]\n [460, 674, 180] False [0.65, 1.04, 1.35] OpticalFilter525 abc.BandOpticalFilter at 0x140603530113296\nFields:\n bandwidth_in_nm: 50.0\n center_wavelength_in_nm: 525.0\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\n filter_type: Bandpass\n manufacturer: Chroma\n model: 525/50m\n OpticalFilter470 abc.BandOpticalFilter at 0x140603529377648\nFields:\n bandwidth_in_nm: 24.0\n center_wavelength_in_nm: 473.0\n description: The band-pass filter used to isolate the 470 nm excitation light.\n filter_type: Bandpass\n manufacturer: Chroma\n model: ET473/24\n
3 Caudoputamen dLight1.3b abc.Indicator at 0x140603529377984\nFields:\n description: green dopamine sensor\n label: pAAV-CAG-dLight1.3b(AAV5)\n FiberArray abc.OpticalFiber at 0x140603529377312\nFields:\n core_diameter_in_um: 34.0\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\n manufacturer: Fiber Optics Tech\n model: not specified\n numerical_aperture: 0.66\n ExcitationSource470 abc.ExcitationSource at 0x140603529376976\nFields:\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\neach filtered with a corresponding filter.\n\n excitation_wavelength_in_nm: 470.0\n illumination_type: LED\n manufacturer: Thorlabs\n model: SOLIS-470C\n CMOSCamera pynwb.device.Device at 0x140603530107856\nFields:\n description: A tube lens in each path (Thor labs, No TTL165-A) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\n manufacturer: Hamamatsu Photonics, Orca Fusion BT Gen III\n DichroicMirror1 abc.DichroicMirror at 0x140603529376640\nFields:\n cut_on_wavelength_in_nm: 532.0\n description: The dichroic mirror used to reflect green and pass red fluorescence\n manufacturer: Chroma Tech Corp\n model: ZT532rdc\n reflection_band_in_nm: [405. 532.]\n transmission_band_in_nm: [545. 750.]\n [495, 685, 260] False [0.3, 1.15, 2.05] OpticalFilter525 abc.BandOpticalFilter at 0x140603530113296\nFields:\n bandwidth_in_nm: 50.0\n center_wavelength_in_nm: 525.0\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\n filter_type: Bandpass\n manufacturer: Chroma\n model: 525/50m\n OpticalFilter470 abc.BandOpticalFilter at 0x140603529377648\nFields:\n bandwidth_in_nm: 24.0\n center_wavelength_in_nm: 473.0\n description: The band-pass filter used to isolate the 470 nm excitation light.\n filter_type: Bandpass\n manufacturer: Chroma\n model: ET473/24\n

... and 99 more row(s).

DfOverFFiberPhotometryResponseSeriesGreen (FiberPhotometryResponseSeries)
starting_time: 0.7785000000000001
rate: 29.99490086685263
resolution: -1.0
comments: no comments
description: Baseline corrected (DF/F) fluorescence traces acquired with multi-fiber array implanted in the striatum.
conversion: 1.0
offset: 0.0
unit: n.a.
data
HDF5 dataset
Data typefloat64
Shape(40000, 103)
Array size31.43 MiB
Chunk shape(21728, 56)
Compressiongzip
Compression opts4
Uncompressed size (bytes)32960000
Compressed size (bytes)29667458
Compression ratio1.1109816014570577
starting_time_unit: seconds
fiber_photometry_table_region (DynamicTableRegion)
description: source fibers
table (FiberPhotometryTable)
description: Contains the metadata for the fiber photometry experiment.
columns
location
Location of fiber.
indicator
Link to the indicator object.
optical_fiber
Link to the optical fiber device.
excitation_source
Link to the excitation source device.
photodetector
Link to the photodetector device.
dichroic_mirror
Link to the dichroic mirror device.
allen_atlas_coordinates
The fiber tip coordinates (AP, ML, DV) in Allen Brain Atlas coordinates
included
Whether this fiber has been successfully implanted.
coordinates
Fiber placement in stereotactic coordinates (AP, ML, DV) mm relative to Bregma.
emission_filter
Link to the emission filter device.
excitation_filter
Link to the excitation filter device.
table
location indicator optical_fiber excitation_source photodetector dichroic_mirror allen_atlas_coordinates included coordinates emission_filter excitation_filter
id
0 Caudoputamen dLight1.3b abc.Indicator at 0x140603529377984\nFields:\n description: green dopamine sensor\n label: pAAV-CAG-dLight1.3b(AAV5)\n FiberArray abc.OpticalFiber at 0x140603529377312\nFields:\n core_diameter_in_um: 34.0\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\n manufacturer: Fiber Optics Tech\n model: not specified\n numerical_aperture: 0.66\n ExcitationSource470 abc.ExcitationSource at 0x140603529376976\nFields:\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\neach filtered with a corresponding filter.\n\n excitation_wavelength_in_nm: 470.0\n illumination_type: LED\n manufacturer: Thorlabs\n model: SOLIS-470C\n CMOSCamera pynwb.device.Device at 0x140603530107856\nFields:\n description: A tube lens in each path (Thor labs, No TTL165-A) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\n manufacturer: Hamamatsu Photonics, Orca Fusion BT Gen III\n DichroicMirror1 abc.DichroicMirror at 0x140603529376640\nFields:\n cut_on_wavelength_in_nm: 532.0\n description: The dichroic mirror used to reflect green and pass red fluorescence\n manufacturer: Chroma Tech Corp\n model: ZT532rdc\n reflection_band_in_nm: [405. 532.]\n transmission_band_in_nm: [545. 750.]\n [442, 644, 229] False [0.83, 0.74, 1.78] OpticalFilter525 abc.BandOpticalFilter at 0x140603530113296\nFields:\n bandwidth_in_nm: 50.0\n center_wavelength_in_nm: 525.0\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\n filter_type: Bandpass\n manufacturer: Chroma\n model: 525/50m\n OpticalFilter470 abc.BandOpticalFilter at 0x140603529377648\nFields:\n bandwidth_in_nm: 24.0\n center_wavelength_in_nm: 473.0\n description: The band-pass filter used to isolate the 470 nm excitation light.\n filter_type: Bandpass\n manufacturer: Chroma\n model: ET473/24\n
1 Caudoputamen dLight1.3b abc.Indicator at 0x140603529377984\nFields:\n description: green dopamine sensor\n label: pAAV-CAG-dLight1.3b(AAV5)\n FiberArray abc.OpticalFiber at 0x140603529377312\nFields:\n core_diameter_in_um: 34.0\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\n manufacturer: Fiber Optics Tech\n model: not specified\n numerical_aperture: 0.66\n ExcitationSource470 abc.ExcitationSource at 0x140603529376976\nFields:\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\neach filtered with a corresponding filter.\n\n excitation_wavelength_in_nm: 470.0\n illumination_type: LED\n manufacturer: Thorlabs\n model: SOLIS-470C\n CMOSCamera pynwb.device.Device at 0x140603530107856\nFields:\n description: A tube lens in each path (Thor labs, No TTL165-A) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\n manufacturer: Hamamatsu Photonics, Orca Fusion BT Gen III\n DichroicMirror1 abc.DichroicMirror at 0x140603529376640\nFields:\n cut_on_wavelength_in_nm: 532.0\n description: The dichroic mirror used to reflect green and pass red fluorescence\n manufacturer: Chroma Tech Corp\n model: ZT532rdc\n reflection_band_in_nm: [405. 532.]\n transmission_band_in_nm: [545. 750.]\n [454, 642, 304] False [0.71, 0.72, 2.44] OpticalFilter525 abc.BandOpticalFilter at 0x140603530113296\nFields:\n bandwidth_in_nm: 50.0\n center_wavelength_in_nm: 525.0\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\n filter_type: Bandpass\n manufacturer: Chroma\n model: 525/50m\n OpticalFilter470 abc.BandOpticalFilter at 0x140603529377648\nFields:\n bandwidth_in_nm: 24.0\n center_wavelength_in_nm: 473.0\n description: The band-pass filter used to isolate the 470 nm excitation light.\n filter_type: Bandpass\n manufacturer: Chroma\n model: ET473/24\n
2 Primary motor area Layer 6a dLight1.3b abc.Indicator at 0x140603529377984\nFields:\n description: green dopamine sensor\n label: pAAV-CAG-dLight1.3b(AAV5)\n FiberArray abc.OpticalFiber at 0x140603529377312\nFields:\n core_diameter_in_um: 34.0\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\n manufacturer: Fiber Optics Tech\n model: not specified\n numerical_aperture: 0.66\n ExcitationSource470 abc.ExcitationSource at 0x140603529376976\nFields:\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\neach filtered with a corresponding filter.\n\n excitation_wavelength_in_nm: 470.0\n illumination_type: LED\n manufacturer: Thorlabs\n model: SOLIS-470C\n CMOSCamera pynwb.device.Device at 0x140603530107856\nFields:\n description: A tube lens in each path (Thor labs, No TTL165-A) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\n manufacturer: Hamamatsu Photonics, Orca Fusion BT Gen III\n DichroicMirror1 abc.DichroicMirror at 0x140603529376640\nFields:\n cut_on_wavelength_in_nm: 532.0\n description: The dichroic mirror used to reflect green and pass red fluorescence\n manufacturer: Chroma Tech Corp\n model: ZT532rdc\n reflection_band_in_nm: [405. 532.]\n transmission_band_in_nm: [545. 750.]\n [460, 674, 180] False [0.65, 1.04, 1.35] OpticalFilter525 abc.BandOpticalFilter at 0x140603530113296\nFields:\n bandwidth_in_nm: 50.0\n center_wavelength_in_nm: 525.0\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\n filter_type: Bandpass\n manufacturer: Chroma\n model: 525/50m\n OpticalFilter470 abc.BandOpticalFilter at 0x140603529377648\nFields:\n bandwidth_in_nm: 24.0\n center_wavelength_in_nm: 473.0\n description: The band-pass filter used to isolate the 470 nm excitation light.\n filter_type: Bandpass\n manufacturer: Chroma\n model: ET473/24\n
3 Caudoputamen dLight1.3b abc.Indicator at 0x140603529377984\nFields:\n description: green dopamine sensor\n label: pAAV-CAG-dLight1.3b(AAV5)\n FiberArray abc.OpticalFiber at 0x140603529377312\nFields:\n core_diameter_in_um: 34.0\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\n manufacturer: Fiber Optics Tech\n model: not specified\n numerical_aperture: 0.66\n ExcitationSource470 abc.ExcitationSource at 0x140603529376976\nFields:\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\neach filtered with a corresponding filter.\n\n excitation_wavelength_in_nm: 470.0\n illumination_type: LED\n manufacturer: Thorlabs\n model: SOLIS-470C\n CMOSCamera pynwb.device.Device at 0x140603530107856\nFields:\n description: A tube lens in each path (Thor labs, No TTL165-A) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\n manufacturer: Hamamatsu Photonics, Orca Fusion BT Gen III\n DichroicMirror1 abc.DichroicMirror at 0x140603529376640\nFields:\n cut_on_wavelength_in_nm: 532.0\n description: The dichroic mirror used to reflect green and pass red fluorescence\n manufacturer: Chroma Tech Corp\n model: ZT532rdc\n reflection_band_in_nm: [405. 532.]\n transmission_band_in_nm: [545. 750.]\n [495, 685, 260] False [0.3, 1.15, 2.05] OpticalFilter525 abc.BandOpticalFilter at 0x140603530113296\nFields:\n bandwidth_in_nm: 50.0\n center_wavelength_in_nm: 525.0\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\n filter_type: Bandpass\n manufacturer: Chroma\n model: 525/50m\n OpticalFilter470 abc.BandOpticalFilter at 0x140603529377648\nFields:\n bandwidth_in_nm: 24.0\n center_wavelength_in_nm: 473.0\n description: The band-pass filter used to isolate the 470 nm excitation light.\n filter_type: Bandpass\n manufacturer: Chroma\n model: ET473/24\n

... and 99 more row(s).

ImageSegmentation (ImageSegmentation)
PlaneSegmentation (PlaneSegmentation)
description: Segmented ROIs
imaging_plane (ImagingPlane)
optical_channel
0 (OpticalChannel)
description: An optical channel of the microscope.
emission_lambda: 511.0
description: Imaging plane for the one-photon microscope.
device (Device)
description: The microscope (Hamamatsu Orca Fusion BT Gen III) used to acquire the image of the fiber bundle.
manufacturer: Hamamatsu Photonics
excitation_lambda: 470.0
indicator: dLight1.3b
location: STR
conversion: 1.0
unit: meters
origin_coords_unit: meters
grid_spacing_unit: meters
columns
image_mask
Image masks for each ROI.
ROICentroids
The x, y, (z) centroids of each ROI.
Accepted
1 if ROI was accepted or 0 if rejected as a cell during segmentation operation.
Rejected
1 if ROI was rejected or 0 if accepted as a cell during segmentation operation.
table
image_mask ROICentroids Accepted Rejected
id
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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...], [0, 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... and 99 more row(s).

OnePhotonSeriesMotionCorrectedGreen (OnePhotonSeries)
starting_time: 0.7785000000000001
rate: 29.99490086685263
resolution: -1.0
comments: no comments
description: The motion corrected fiber bundle imaging data.
conversion: 1.0
offset: 0.0
unit: n.a.
data
HDF5 dataset
Data typeuint16
Shape(40000, 381, 378)
Array size10.73 GiB
Chunk shape(34, 381, 378)
Compressiongzip
Compression opts4
Uncompressed size (bytes)11521440000
Compressed size (bytes)9143731733
Compression ratio1.2600369670097362
starting_time_unit: seconds
dimension
HDF5 dataset
Data typeint64
Shape(2,)
Array size16.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Uncompressed size (bytes)16
Compressed size (bytes)16
Compression ratio1.0

[378 381]
imaging_plane (ImagingPlane)
optical_channel
0 (OpticalChannel)
description: An optical channel of the microscope.
emission_lambda: 511.0
description: Imaging plane for the one-photon microscope.
device (Device)
description: The microscope (Hamamatsu Orca Fusion BT Gen III) used to acquire the image of the fiber bundle.
manufacturer: Hamamatsu Photonics
excitation_lambda: 470.0
indicator: dLight1.3b
location: STR
conversion: 1.0
unit: meters
origin_coords_unit: meters
grid_spacing_unit: meters
In [20]:
df_over_f_traces = nwbfile.processing["ophys"]["DfOverFFiberPhotometryResponseSeriesGreen"]
In [21]:
# Visualize the DF/F traces.
from matplotlib import pyplot as plt

# Prepare data for plotting
data = df_over_f_traces.data[100:500, :5]
timestamps = df_over_f_traces.get_timestamps()[100:500]

fig, axes = plt.subplots(nrows=data.shape[1], ncols=1, figsize=(6, 4), sharey=True, sharex=True, dpi=300)

for i, ax in enumerate(axes):
    ax.plot(timestamps, data[:, i], linewidth=0.5, color="green")

    ax.tick_params(axis='y', labelsize=6)
    ax.tick_params(axis='x', labelsize=6)

    ax.legend([f"∆F/F Fiber {i+1}"], frameon=False, bbox_to_anchor=(.95, 1), loc='upper left', prop={'size': 6})

    ax.spines['top'].set_visible(False)
    ax.spines['right'].set_visible(False)
    if i != data.shape[1] - 1:
        ax.spines['bottom'].set_visible(False)

axes[0].set_title("DF/F Fluorescence traces", fontsize=6)
plt.xlabel('Time (s)', fontsize=6)
plt.tick_params(axis='x', labelsize=6)

plt.tight_layout()
plt.show()
No description has been provided for this image

Access motion corrected imaging data¶

This section demonstrates how to access the motion corrected imaging data in the NWBFile.

Similarly to the raw imaging data, the processed imaging data is stored in a pynwb.ophys.OnePhotonSeries object and is added to nwbfile.processing["ophys"].

In [22]:
motion_corrected = nwbfile.processing["ophys"]["OnePhotonSeriesMotionCorrectedGreen"]
motion_corrected
Out[22]:

OnePhotonSeriesMotionCorrectedGreen (OnePhotonSeries)

starting_time: 0.7785000000000001
rate: 29.99490086685263
resolution: -1.0
comments: no comments
description: The motion corrected fiber bundle imaging data.
conversion: 1.0
offset: 0.0
unit: n.a.
data
HDF5 dataset
Data typeuint16
Shape(40000, 381, 378)
Array size10.73 GiB
Chunk shape(34, 381, 378)
Compressiongzip
Compression opts4
Uncompressed size (bytes)11521440000
Compressed size (bytes)9143731733
Compression ratio1.2600369670097362
starting_time_unit: seconds
dimension
HDF5 dataset
Data typeint64
Shape(2,)
Array size16.00 bytes
Chunk shapeNone
CompressionNone
Compression optsNone
Uncompressed size (bytes)16
Compressed size (bytes)16
Compression ratio1.0

[378 381]
imaging_plane (ImagingPlane)
optical_channel
0 (OpticalChannel)
description: An optical channel of the microscope.
emission_lambda: 511.0
description: Imaging plane for the one-photon microscope.
device (Device)
description: The microscope (Hamamatsu Orca Fusion BT Gen III) used to acquire the image of the fiber bundle.
manufacturer: Hamamatsu Photonics
excitation_lambda: 470.0
indicator: dLight1.3b
location: STR
conversion: 1.0
unit: meters
origin_coords_unit: meters
grid_spacing_unit: meters
In [23]:
# Visualize the motion corrected imaging data.

from matplotlib import pyplot as plt

fig, axes = plt.subplots(nrows=1, ncols=2, sharex=True, sharey=True, dpi=300)

axes[0].imshow(one_photon_series.data[50])
axes[0].set_title("Raw Fiber Array Imaging", fontsize=6)
axes[0].tick_params(axis='x', labelsize=6)
axes[0].tick_params(axis='y', labelsize=6)

axes[1].imshow(motion_corrected.data[50])
axes[1].set_title("Motion Corrected Fiber Array Imaging", fontsize=6)
axes[1].tick_params(axis='x', labelsize=6)
axes[1].tick_params(axis='y', labelsize=6)

plt.tight_layout()
plt.show()
No description has been provided for this image

Access ROIs¶

This section demonstrates how to access the ROIs corresponding to fiber tops in the NWBFile.

The centroids and image masks of the ROIs are stored in a PlaneSegmentation added to an ImageSegmentation object in nwbfile.processing["ophys"].

In [24]:
rois_table = nwbfile.processing["ophys"]["ImageSegmentation"]["PlaneSegmentation"][:]
rois_table.head()
Out[24]:
image_mask ROICentroids Accepted Rejected
id
0 [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,... [166.47541258012367, 59.00562445763765] 0 1
1 [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,... [163.1369152701555, 80.29428559091824] 0 1
2 [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,... [144.14977970147507, 83.10331721340896] 0 1
3 [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,... [123.4401911607665, 85.54001655461578] 0 1
4 [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,... [111.00957492596739, 100.35934701854168] 0 1
In [25]:
# Visualize the ROIs and the motion corrected imaging data.
from matplotlib import pyplot as plt
import numpy as np

plt.imshow(motion_corrected.data[50])

roi_masks = rois_table["image_mask"].values
roi_masks_combined = np.zeros(roi_masks[0].shape)
for i in range(roi_masks.shape[0]):
    inds = np.where(roi_masks[i] != 0)
    roi_masks_combined[inds] = 1

masked_roi_masks_combined = np.ma.masked_where(roi_masks_combined == 0, roi_masks_combined)
plt.imshow(masked_roi_masks_combined, cmap='gray', interpolation='none', alpha=0.5)
plt.title("ROIs on motion corrected image")
plt.show()
No description has been provided for this image

Access behavior data¶

This section demonstrates how to access the behavior data in the NWBFile.

The velocity for the roll and pitch (x, y) measured in m/s is added to nwbfile.processing["behavior"] stored in a pynwb.base.TimeSeries object. It can be accessed as nwbfile.processing["behavior"]["Velocity"].

The angular velocity from yaw (rotational) velocity is converted to radians/s and is also stored in a pynwb.base.TimeSeries object. It can be accessed as nwbfile.processing["behavior"]["AngularVelocity"].

In [26]:
nwbfile.processing["behavior"]
Out[26]:

behavior (ProcessingModule)

description: Contains the velocity signals from two optical mouse sensors (Logitech G203 mice with hard plastic shells removed).
AngularVelocity (TimeSeries)
resolution: -1.0
comments: no comments
description: The angular velocity from yaw (rotational) velocity converted to radians/s.
conversion: 1.0
offset: 0.0
unit: radians/s
data
HDF5 dataset
Data typefloat64
Shape(40000,)
Array size312.50 KiB
Chunk shape(40000,)
Compressiongzip
Compression opts4
Uncompressed size (bytes)320000
Compressed size (bytes)305498
Compression ratio1.0474700325370379
timestamps
HDF5 dataset
Data typefloat64
Shape(40000,)
Array size312.50 KiB
Chunk shape(40000,)
Compressiongzip
Compression opts4
Uncompressed size (bytes)320000
Compressed size (bytes)115444
Compression ratio2.771906725338692
timestamps_unit: seconds
interval: 1
timestamp_link
0 (TimeSeries)
resolution: -1.0
comments: no comments
description: Velocity for the roll and pitch (x, y) measured in m/s.
conversion: 1.0
offset: 0.0
unit: m/s
data
HDF5 dataset
Data typefloat64
Shape(40000, 2)
Array size625.00 KiB
Chunk shape(40000, 2)
Compressiongzip
Compression opts4
Uncompressed size (bytes)640000
Compressed size (bytes)610953
Compression ratio1.0475437554116274
timestamps (link to processing/behavior/AngularVelocity/timestamps)
HDF5 dataset
Data typefloat64
Shape(40000,)
Array size312.50 KiB
Chunk shape(40000,)
Compressiongzip
Compression opts4
Uncompressed size (bytes)320000
Compressed size (bytes)115444
Compression ratio2.771906725338692
timestamps_unit: seconds
interval: 1
Velocity (TimeSeries)
resolution: -1.0
comments: no comments
description: Velocity for the roll and pitch (x, y) measured in m/s.
conversion: 1.0
offset: 0.0
unit: m/s
data
HDF5 dataset
Data typefloat64
Shape(40000, 2)
Array size625.00 KiB
Chunk shape(40000, 2)
Compressiongzip
Compression opts4
Uncompressed size (bytes)640000
Compressed size (bytes)610953
Compression ratio1.0475437554116274
timestamps (link to processing/behavior/AngularVelocity/timestamps)
HDF5 dataset
Data typefloat64
Shape(40000,)
Array size312.50 KiB
Chunk shape(40000,)
Compressiongzip
Compression opts4
Uncompressed size (bytes)320000
Compressed size (bytes)115444
Compression ratio2.771906725338692
timestamps_unit: seconds
interval: 1
TimeIntervals (TimeIntervals)
description: Mice were presented with either visual (blue LED) or auditory (12 kHz tone) stimuli at random intervals (4–40 s). For experiments with water reward delivery, a water spout mounted on a post delivered water rewards (9 μL, Figure 1B) at random time intervals (randomly drawn from a 5-30s uniform distribution) through a water spout and solenoid valve gated electronically. Licking was monitored by a capacitive touch circuit connected to the spout.
columns
start_time
Start time of epoch, in seconds
stop_time
Stop time of epoch, in seconds
event_type
The type of event (licking, light, tone or reward delivery).
table
start_time stop_time event_type
id
0 10.21300 11.08000 Light
1 25.31550 26.18225 Light
2 36.25050 37.58400 Tone
3 69.78875 70.65550 Light

... and 159 more row(s).

In [27]:
velocity = nwbfile.processing["behavior"]["Velocity"]
In [28]:
# Visualize the DF/F traces and velocity for the roll in m/s.

import pandas as pd
from matplotlib import pyplot as plt

# Prepare data for plotting
data = df_over_f_traces.data[200:600, :2]
timestamps = df_over_f_traces.get_timestamps()[200:600]

velocity_x = velocity.data[200:600, 0]

fig, axes = plt.subplots(nrows=3, ncols=1, figsize=(6, 4), sharey=False, sharex=True, dpi=300)

for i in range(len(axes)-1):
    axes[i].plot(timestamps, data[:, i], linewidth=0.5, color="green")
    axes[i].spines['top'].set_visible(False)
    axes[i].spines['right'].set_visible(False)
    
    axes[i].tick_params(axis='y', labelsize=6)
    axes[i].tick_params(axis='x', labelsize=6)
    axes[i].spines['bottom'].set_visible(False)
    axes[i].set_ylim([-0.01, 0.09])

    axes[i].legend([f"∆F/F Fiber {i+1}"], frameon=False, bbox_to_anchor=(.95, 1), loc='upper left', prop={'size': 6})

    axes[i].spines['top'].set_visible(False)
    axes[i].spines['right'].set_visible(False)
            
axes[-1].plot(timestamps, velocity_x, color="black", alpha=0.8, linewidth=0.5)
axes[-1].spines['top'].set_visible(False)
axes[-1].spines['right'].set_visible(False)
axes[-1].legend(["Roll velocity"], frameon=False, bbox_to_anchor=(.95, 1), loc='upper left', prop={'size': 6})
axes[-1].tick_params(axis='y', labelsize=6)
axes[-1].tick_params(axis='x', labelsize=6)

plt.xlabel('Time (s)', fontsize=6)
plt.tight_layout()
plt.show()
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The onset times of the events (licking, tone, light or reward delivery) are added to nwbfile.processing["behavior"]["TimeIntervals"] table.

In [29]:
events = nwbfile.processing["behavior"]["TimeIntervals"][:]
events
Out[29]:
start_time stop_time event_type
id
0 10.21300 11.08000 Light
1 25.31550 26.18225 Light
2 36.25050 37.58400 Tone
3 69.78875 70.65550 Light
4 87.65825 88.99175 Tone
... ... ... ...
158 1312.37725 1312.54400 Lick
159 1313.64425 1313.74425 Lick
160 1318.24500 1319.07825 Light
161 1325.11250 1326.41275 Tone
162 1330.61350 1331.48025 Light

163 rows × 3 columns

In [30]:
from matplotlib import pyplot as plt
import matplotlib.lines as mlines

# Prepare data for plotting
data = df_over_f_traces.data[700:1200, 0]
timestamps = df_over_f_traces.get_timestamps()[700:1200]

fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(6, 2), dpi=300, sharex=True)

light_events = events[events["event_type"] == "Light"]
light_events = light_events[(light_events["start_time"] >= timestamps[0]) & (light_events["stop_time"] < timestamps[-1])]

tone_events = events[events["event_type"] == "Tone"]
tone_events = tone_events[(tone_events["start_time"] >= timestamps[0]) & (tone_events["stop_time"] < timestamps[-1])]

ax.plot(timestamps, data, color="green", linewidth=0.5)

for ind, row in light_events.iterrows():
    ax.fill_between(timestamps, min(data), max(data), where=(timestamps >= row["start_time"]) & (timestamps <= row["stop_time"]), color='blue', edgecolor='none', alpha=0.1)

for ind, row in tone_events.iterrows():
    ax.fill_between(timestamps, min(data), max(data), where=(timestamps >= row["start_time"]) & (timestamps <= row["stop_time"]), color='red', edgecolor='none', alpha=0.1)

# Create proxy lines for legend entries with corresponding colors and transparency
green_line = mlines.Line2D([], [], color='green', label='∆F/F from striatum', alpha=0.5)
blue_line = mlines.Line2D([], [], color='blue', label='Light', alpha=0.1)
red_line = mlines.Line2D([], [], color='red', label='Tone', alpha=0.1)

ax.legend(handles=[green_line, blue_line, red_line], frameon=False, bbox_to_anchor=(.95, 1), loc='upper left', prop={'size': 6})

ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.tick_params(axis='y', labelsize=6)
ax.tick_params(axis='x', labelsize=6)
plt.xlabel('Time (s)', fontsize=6)

plt.show()
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In [ ]: