Metadata-Version: 2.1
Name: element-calcium-imaging
Version: 0.4.1
Summary: Calcium Imaging DataJoint element
Home-page: https://github.com/datajoint/element-calcium-imaging
Author: DataJoint
Author-email: info@datajoint.com
License: MIT
Keywords: neuroscience calcium-imaging science datajoint
Platform: UNKNOWN
Description-Content-Type: text/markdown
License-File: LICENSE

# DataJoint Element - Functional Calcium Imaging

+ This repository features DataJoint pipeline design for functional Calcium imaging 
with `ScanImage`, `Scanbox`, or `Nikon NIS` acquisition system and `Suite2p` or `CaImAn` suites for analysis.

+ The element presented here is not a complete workflow by itself,
 but rather a modular design of tables and dependencies specific to the functional Calcium imaging workflow.

+ This modular element can be flexibly attached downstream to 
any particular design of experiment session, thus assembling 
a fully functional calcium imaging workflow.

+ See the [Element Calcium Imaging documentation](https://elements.datajoint.org/description/calcium_imaging/) for the background information and development timeline.

+ For more information on the DataJoint Elements project, please visit https://elements.datajoint.org.  This work is supported by the National Institutes of Health.

## Element architecture

`element-calcium-imaging` is comprised of two schemas, `scan` and `imaging`.  To handle
several use cases of this pipeline, we have designed several `imaging` schemas,
including `imaging`, `imaging_no_curation`, and `imaging_preprocess`.

+ `imaging` - Multiple scans are acquired during each session and each scan is processed
              independently.

+ `imaging_preprocess` - Multiple scans are acquired during each session and each scan
                         is processed independently.  And pre-processing steps can be
                         performed on each scan prior to processing with Suite2p or
                         CaImAn.

### `imaging` module

![imaging diagram](images/attached_calcium_imaging_element.svg)

### `imaging_preprocess` module

![imaging-preprocess diagram](images/attached_calcium_imaging_element_preprocess.svg)

+ As the diagram depicts, the imaging element starts immediately downstream from `Session`, and also requires some notion of:

    + `Scanner` for equipment/device

    + `Location` as a dependency for `ScanLocation`

## Table definitions

### Scan
The `scan` schema contains information regarding the raw data acquired with ScanImage 
or Scanbox.

<details>
<summary>Click to expand details</summary>

+ A `Session` (more specifically an experimental session) may have multiple scans, where each scan describes a complete 4D dataset (i.e. 3D volume over time) from one scanning session, typically from the moment of pressing the *start* button to pressing the *stop* button.

+ `Scan` - table containing information about the equipment used (e.g. the Scanner information)

+ `ScanInfo` - meta information about this scan, from ScanImage header (e.g. frame rate, number of channels, scanning depths, frames, etc.)

+ `ScanInfo.Field` - a field is a 2D image at a particular xy-coordinate and plane (scanning depth) within the field-of-view (FOV) of the scan.

     + For resonant scanner, a field is usually the 2D image occupying the entire FOV from a certain plane (at some depth).

     + For mesoscope scanner, with much wider FOV, there may be multiple fields on one plane. 

</details>

### Preprocessing - Motion Correction
The `imaging` schema stores information regarding the motion corrected images.

<details>
<summary>Click to expand details</summary>

+ `MotionCorrection` - motion correction information performed on a scan

+ `MotionCorrection.RigidMotionCorrection` - details of the rigid motion correction (e.g. shifting in x, y) at a per `ScanInfo.Field` level

+ `MotionCorrection.NonRigidMotionCorrection` and `MotionCorrection.Block` tables are used to describe the non-rigid motion correction performed on each `ScanInfo.Field`

+ `MotionCorrection.Summary` - summary images for each `ScanInfo.Field` after motion correction (e.g. average image, correlation image)

</details>

### Preprocessing - Segmentation
The `imaging` schema stores information regarding the segmented masks for each field.

<details>
<summary>Click to expand details</summary>

+ `Segmentation` - table specifies the segmentation step and its outputs, following the motion correction step.
 
+ `Segmentation.Mask` - image mask for the segmented region of interest from a particular `ScanInfo.Field`

+ `MaskClassification` - classification of `Segmentation.Mask` into different type (e.g. soma, axon, dendrite, artifact, etc.)
</details>

### Neural activity extraction
The `imaging` schema stores information regarding the calcium traces for each mask.

<details>
<summary>Click to expand details</summary>

+ `Fluorescence` - fluorescence traces extracted from each `Segmentation.Mask`

+ `ActivityExtractionMethod` - activity extraction method (e.g. deconvolution) to be applied on fluorescence trace

+ `Activity` - computed neuronal activity trace from fluorescence trace (e.g. spikes)

</details>

## Installation

+ The installation instructions can be found at the
[DataJoint Elements documentation](https://elements.datajoint.org/usage/install/).

+ Install `element-calcium-imaging`
     ```
     pip install element-calcium-imaging
     ```

+ Upgrade `element-calcium-imaging` previously installed with `pip`
     ```
     pip install --upgrade element-calcium-imaging
     ```

+ Install `element-interface`

     + `element-interface` contains data loading utilities for `element-calcium-imaging`.

     + `element-interface` is a dependency of `element-calcium-imaging`, however it is not contained within `requirements.txt`, therefore, must be installed in addition to the installation of the `element-calcium-imaging`. 

     + `element-interface` can also be used to install packages used for reading acquired data (e.g. `scanreader`) and running analysis (e.g. `CaImAn`).

     + If your workflow uses these packages, you should install them when you install `element-interface`.

     <details>
     <summary>Click to expand details</summary>

     + Install `element-interface` with `scanreader`
          ```
          pip install "element-interface[scanreader] @ git+https://github.com/datajoint/element-interface"
          ```

     + Install `element-interface` with `sbxreader`
          ```
          pip install "element-interface[sbxreader] @ git+https://github.com/datajoint/element-interface"
          ```

     + Install `element-interface` with `Suite2p`
          ```
          pip install "element-interface[suite2p] @ git+https://github.com/datajoint/element-interface"
          ```

     + Install `element-interface` with `CaImAn` requires two separate commands
          ```
          pip install "element-interface[caiman_requirements] @ git+https://github.com/datajoint/element-interface"
          pip install "element-interface[caiman] @ git+https://github.com/datajoint/element-interface"
          ```

     + Install `element-interface` with multiple packages
          ```
          pip install "element-interface[caiman_requirements] @ git+https://github.com/datajoint/element-interface"
          pip install "element-interface[scanreader,sbxreader,suite2p,caiman] @ git+https://github.com/datajoint/element-interface"
          ```

     </details>

## Element usage

+ See [workflow-calcium-imaging](https://github.com/datajoint/workflow-calcium-imaging) 
repository for an example usage of `element-calcium-imaging`.

## Citation

+ If your work uses DataJoint and DataJoint Elements, please cite the respective Research Resource Identifiers (RRIDs) and manuscripts.

+ DataJoint for Python or MATLAB
    + Yatsenko D, Reimer J, Ecker AS, Walker EY, Sinz F, Berens P, Hoenselaar A, Cotton RJ, Siapas AS, Tolias AS. DataJoint: managing big scientific data using MATLAB or Python. bioRxiv. 2015 Jan 1:031658. doi: https://doi.org/10.1101/031658

    + DataJoint ([RRID:SCR_014543](https://scicrunch.org/resolver/SCR_014543)) - DataJoint for `<Select Python or MATLAB>` (version `<Enter version number>`)

+ DataJoint Elements
    + Yatsenko D, Nguyen T, Shen S, Gunalan K, Turner CA, Guzman R, Sasaki M, Sitonic D, Reimer J, Walker EY, Tolias AS. DataJoint Elements: Data Workflows for Neurophysiology. bioRxiv. 2021 Jan 1. doi: https://doi.org/10.1101/2021.03.30.437358

    + DataJoint Elements ([RRID:SCR_021894](https://scicrunch.org/resolver/SCR_021894)) - Element Calcium Imaging (version `<Enter version number>`)
    


