{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\n# Calcium Imaging Data\n\nThis tutorial will demonstrate how to write calcium imaging data. The workflow demonstrated here involves\nfive main steps:\n\n1. Create imaging plane\n2. Add acquired two-photon images\n3. Add motion correction (optional)\n4. Add image segmentation\n5. Add fluorescence and dF/F responses\n\nIt is recommended to cover `basics` before this tutorial.\n\n
It is recommended to check if your source data is supported by\n [NeuroConv Optical Physiology Gallery](https://neuroconv.readthedocs.io/en/main/conversion_examples_gallery/conversion_example_gallery.html#optical-physiology).\n If it is supported, it is recommended to use NeuroConv to convert your data.
You need to be consistent within a :py:class:`~pynwb.ophys.PlaneSegmentation` table.\n You can add ROIs either using image masks, pixel masks, or voxel masks.