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gerencserlab committed Dec 20, 2023
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## Installation
1. Download and install [Image Analyst MKII for Windows](https://www.imageanalyst.net/downloads/?item=recent/imageanalystMKII64.msi).
2. Download and install [R for Windows](https://cran.r-project.org/bin/windows/base/). Note that no R-Studio is required for this implementation and all interaction with R is menu-based from Image Analyst MKII.
3. Clone this git in Image Analyst MKII by Edit/Download and Manage Pipelines from GitHub.
4. Press the "< > Code" button [above in this page](https://github.com/gerencserlab/FAST/) and copy the URL of this git.
5. Paste the URL in the URL field in the Connect to Git window in Image Analyst MKII.
6. Press Download.
7. The pipelines deposited here will appear in the middle section of the Pipelines main menu.
8. In Image Analyst MKII main menu select Pipelines/FAST/"Install FAST.R Shiny App" to install app and its R dependencies
9. Follow the protocol on protocols.io for the analysis.
Note: For standalone installation of FAST.R using R-Studio go to the [FAST.R Repository](https://github.com/f-neri/FAST.R).
2. You will also need Microsoft Excel to perform the analysis.
3. Download and install [R for Windows](https://cran.r-project.org/bin/windows/base/). Note that no R-Studio is required for this implementation and all interaction with R is menu-based from Image Analyst MKII.
4. Clone this git in Image Analyst MKII by Edit/Download and Manage Pipelines from GitHub.
5. Press the "< > Code" button [above in this page](https://github.com/gerencserlab/FAST/) and copy the URL of this git.
6. Paste the URL in the URL field in the Connect to Git window in Image Analyst MKII.
7. Press Download.
8. The pipelines deposited here will appear in the middle section of the Pipelines main menu.
9. In Image Analyst MKII main menu select Pipelines/FAST/"Install FAST.R Shiny App" to install app and its R dependencies.
10. Follow the protocol on protocols.io for the analysis.

## Standalone app installation
For standalone installation for data analysis only by FAST.R using R-Studio go to the [FAST.R Repository](https://f-neri.github.io/FAST.R/).

[Gerencser Lab on Github](https://github.com/gerencserlab)

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