From 1dec33113fa35c7818f3d8a20f5bf55405bcb507 Mon Sep 17 00:00:00 2001 From: Beth Cimini Date: Tue, 22 Aug 2023 15:36:39 -0400 Subject: [PATCH] Update supported_plugins.md --- documentation/CP-plugins-documentation/supported_plugins.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/documentation/CP-plugins-documentation/supported_plugins.md b/documentation/CP-plugins-documentation/supported_plugins.md index 5ccdda93..378094d4 100644 --- a/documentation/CP-plugins-documentation/supported_plugins.md +++ b/documentation/CP-plugins-documentation/supported_plugins.md @@ -21,7 +21,7 @@ Those plugins that do have extra documentation contain links below. | PixelShuffle | PixelShuffle takes the intensity of each pixel in an image and randomly shuffles its position. | No | | | Predict | Predict allows you to use an ilastik pixel classifier to generate a probability image. CellProfiler supports two types of ilastik projects: Pixel Classification and Autocontext (2-stage). | No | | | [RunCellpose](RunCellPose.md) | RunCellpose allows you to run Cellpose within CellProfiler. Cellpose is a generalist machine-learning algorithm for cellular segmentation and is a great starting point for segmenting non-round cells. You can use pre-trained Cellpose models or your custom model with this plugin. You can use a GPU with this module to dramatically increase your speed/efficiency. | Yes | `cellpose` | -| RunImageJScript | RunImageJScript allows you to run any supported ImageJ script directly within CellProfiler. It is significantly more performant than RunImageJMacro, and is also less likely to leave behind temporary files. | Yes | XXXXX | +| RunImageJScript | RunImageJScript allows you to run any supported ImageJ script directly within CellProfiler. It is significantly more performant than RunImageJMacro, and is also less likely to leave behind temporary files. | Yes | `imagejscript` , though note that conda installation may be preferred, see [this link](https://py.imagej.net/en/latest/Install.html#installing-via-pip) for moe information | | RunOmnipose | RunOmnipose allows you to run Omnipose within CellProfiler. Omnipose is a general image segmentation tool that builds on Cellpose. | Yes | `omnipose` | | RunStarDist | RunStarDist allows you to run StarDist within CellProfiler. StarDist is a machine-learning algorithm for object detection with star-convex shapes making it best suited for nuclei or round-ish cells. You can use pre-trained StarDist models or your custom model with this plugin. You can use a GPU with this module to dramatically increase your speed/efficiency. RunStarDist is generally faster than RunCellpose. | Yes | `stardist` | -| VarianceTransform | This module allows you to calculate the variance of an image, using a determined window size. It also has the option to find the optimal window size from a predetermined range to obtain the maximum variance of an image. | No | | \ No newline at end of file +| VarianceTransform | This module allows you to calculate the variance of an image, using a determined window size. It also has the option to find the optimal window size from a predetermined range to obtain the maximum variance of an image. | No | |