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.buildinfo

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+# Sphinx build info version 1
+# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
+config: 55309faf28c386dc0eeaa9d35acda58c
+tags: 645f666f9bcd5a90fca523b33c5a78b7

_sources/contributing.md.txt

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+
+# Contributing
+
+Contributions to `pyisx` are welcome from anyone!
+In order to contribute, please open a pull request on Github and fill out the required information in the pull request description.
+
+## Reporting Bugs
+
+If you have found a bug, we recommend searching the [issues page](https://github.com/inscopix/pyisx/issues) to see if it has already been reported. If not, please open a new issue.
+If you have a feature request, please open a new issue with the label `enhancement`.
+
+## Development
+
+Follow this [Development Guide](https://github.com/inscopix/pyisx?tab=readme-ov-file#development-guide) for instructions on how to setup a development environment and build the package from source.

_sources/examples.md.txt

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+
+# Examples
+
+This sections contains examples of how to use the `isx` package to process Inscopix data.
+
+::: {toctree}
+examples/readData
+examples/writeData
+:::

_sources/examples/readData.md.txt

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+
+# Reading Data
+
+This section demonstrates how the `isx` package can be used to read data from Inscopix files.
+Refer to the [file types](../overview) table for reference on the Inscopix file types and read support.
+
+:::{note}
+The following sections assume the `isx` package has been imported, i.e., `import isx`
+:::
+
+## Microscope & Behavior Movies
+
+`Microscope Movie` and `Behavior Movie` file types can be read using the `isx.Movie` class. 
+
+```python
+    # Open the movie for reading
+    movie = isx.Movie.read("movie.isxd")
+```
+
+Movie objects have timing and spacing properties which can be accessed:
+
+
+```python
+    # Timing information can be accessed using:
+    movie.timing
+
+    # The number of frames can be accessed using:
+    movie.timing.num_samples
+
+    # The time period can be accessed using:
+    movie.timing.period.secs_float
+
+    # Spacing information can be accessed using:
+    movie.spacing
+
+    # The dimensions of the frame can be accessed using:
+    # which will return a 2-tuple containing the dimensions of the frame
+    # (num_rows, num_cols), or (height, width)
+    movie.spacing.num_pixels
+```
+
+Frames from movies can be read into memory:
+
+```python
+    # The pixel data type can accessed using:
+    movie.data_type
+
+    # Read every frame of the movie, and process it
+    for i in range(movie.timing.num_samples):
+        # Dimensions of the frame are (num_rows, num_cols), or (height, width)
+        frame = movie.get_frame_data(i)
+
+        # Process frame
+        ...
+```
+
+::: {warning}
+It's recommended to read one frame into memory at a time to prevent out of memory errors.
+:::
+
+::: {note}
+Python indexes by 0, so the first frame is at index 0, and the the second frame is at index 1, and so on.
+:::
+
+## Cell Sets
+
+`Cell Set` file types can be read using the `isx.CellSet` class. 
+
+```python
+    # Open the cell set for reading
+    cell_set = isx.CellSet.read("cell_set.isxd")
+```
+
+Similar to movies, cell sets have timing and spacing properties which can be accessed.
+These properties are derived from the parent movie which generated the cell set.
+
+```python
+    # Timing information can be accessed using:
+    cell_set.timing
+
+    # The number of frames can be accessed using:
+    cell_set.timing.num_samples
+
+    # The time period can be accessed using:
+    cell_set.timing.period.secs_float
+
+    # Spacing information can be accessed using:
+    cell_set.spacing
+
+    # The dimensions of the frame can be accessed using:
+    # which will return a 2-tuple containing the dimensions of the frame
+    # (num_rows, num_cols), or (height, width)
+    cell_set.spacing.num_pixels
+```
+
+Cell data from cell sets can be read into memory:
+
+```python
+    # The number of cells in the cell set can accessed using:
+    cell_set.num_cells
+
+    # Read data of every cell in the cell set, and process it
+    for i in range(cell_set.num_cells):
+        # Get the cell name
+        name = cell_set.get_cell_name(i)
+
+        # Get the temporal activity trace of a cell
+        trace = cell_set.get_cell_trace(i)
+
+        # Get the spatial footprint of a cell
+        footprint = cell_set.get_cell_image_data(i)
+
+        # Process cell data
+        ...
+```
+
+## Event Sets
+
+`Event Set` file types can be read using the `isx.EventSet` class. 
+
+```python
+    # open the event set for reading
+    event_set = isx.EventSet.read("event_set.isxd")
+```
+
+Similar to cell sets, event sets have timing properties which can be accessed.
+These properties are derived from the parent cell set which generated the event set.
+
+```python
+    # Timing information can be accessed using:
+    event_set.timing
+
+    # The number of frames can be accessed using:
+    event_set.timing.num_samples
+
+    # The time period can be accessed using:
+    event_set.timing.period.secs_float
+```
+
+Cell data from event sets can be read into memory:
+
+```python
+    # Read data of every cell in the event set, and process it
+    for i in range(event_set.timing.num_samples):
+        # Get the cell name
+        name = event_set.get_cell_name(i)
+
+        # Get the event timestamps and amplitudes of a cell
+        offsets, amplitudes = event_set.get_cell_data(i)
+
+        # Process cell data
+        ...
+```
+
+## Vessel Sets
+
+`Vessel Set` file types can be read using the `isx.VesselSet` class. 
+
+```python
+    # Open the vessel set for reading
+    vessel_set = isx.VesselSet.read("vessel_set.isxd")
+```
+
+Similar to movies, vessel sets have timing and spacing properties which can be accessed.
+These properties are derived from the parent movie which generated the vessel set.
+
+```python
+    # Timing information can be accessed using:
+    vessel_set.timing
+
+    # The number of frames can be accessed using:
+    vessel_set.timing.num_samples
+
+    # The time period can be accessed using:
+    vessel_set.timing.period.secs_float
+
+    # Spacing information can be accessed using:
+    vessel_set.spacing
+
+    # The dimensions of the frame can be accessed using:
+    # which will return a 2-tuple containing the dimensions of the frame
+    # (num_rows, num_cols), or (height, width)
+    vessel_set.spacing.num_pixels
+```
+
+Vessel data from vessel sets can be read into memory:
+
+```python
+    # The number of vessels in the vessel set can be accessed using:
+    vessel_set.num_vessels
+
+    # The standard deviation projection image of the parent movie
+    # This is the same for every vessel
+    image = vessel_set.get_vessel_image_data(0)
+
+    # Read data of every vessel in the vessel set, and process it
+    for i in range(vessel_set.num_vessels):
+        # Get the vessel name
+        name = vessel_set.get_vessel_name(i)
+
+        # Get the vessel status
+        status = vessel_set.get_vessel_status(i)
+
+        # For vessel diameter vessel sets, get the following data:
+        # The vessel diameter trace
+        trace = vessel_set.get_vessel_trace_data(i)
+        # The direction of rbc velocity trace
+        center_trace = vessel_set.get_vessel_center_trace_data(i)
+        # The vessel line points
+        line = vessel_set.get_vessel_line_data(i)
+
+        # For rbc velocity vessel sets, get the following data:
+        # The rbc velocity trace
+        trace = vessel_set.get_vessel_trace_data(i)
+        # The direction of rbc velocity trace
+        direction_trace = vessel_set.get_vessel_direction_trace_data(i)
+        # The first correlation heatmap of the vessel
+        corr = vessel_set.get_vessel_correlations_data(i, 0)
+        # The vessel box points
+        box = vessel_set.get_vessel_line_data(i)
+
+        # Process vessel data
+        ...
+```
+
+## GPIO & IMU
+
+`GPIO` and `IMU` file types can be read using the `isx.GpioSet` class. 
+
+```python
+    # open the gpio set for reading
+    gpio_set = isx.GpioSet.read("signals.gpio")
+```
+
+Gpio sets have timing properties which can be accessed.
+
+```python
+    # Timing information can be accessed using:
+    gpio_set.timing
+
+    # The number of frames can be accessed using:
+    gpio_set.timing.num_samples
+
+    # The time period can be accessed using:
+    gpio_set.timing.period.secs_float
+```
+
+Signal data from gpio sets can be read into memory:
+
+```python
+    # Number of channels (i.e., signals) can be accessed using:
+    gpio_set.num_channels
+
+    # Read data of every cell in the cell set, and process it
+    for i in range(gpio_set.num_channels):
+        # Get the channel name
+        name = gpio_set.get_channel_name(i)
+
+        # Get the signal timestamps and amplitudes of a channel
+        offsets, amplitudes = gpio_set.get_channel_data(i)
+
+        # Process signal data
+        ...
+```