A Toolbox for Spatial Transcriptomics Analysis
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Updated
Dec 6, 2024 - R
A Toolbox for Spatial Transcriptomics Analysis
🎨 Image processing toolbox for R
NeuroAnatomy Toolbox: An R package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons.
Tools for Plant Image Analysis
An R package for conducting co-localization analysis. Edit
Framework for image and flow cytometry analysis
Image Fluency Scores in R
3D Analysis of confocal images of microbial biofilms/communities
HSM3 implements the Hasler and Süsstrunk M3 metric of image colourfulness
Automatic classification of bacterial species using Gram-stained images
A shiny based package to extract data from images by clicking on them
R Script for AI Image and Location Recognition that can also generate an automated prompt for AI text-generation of a social media post.
A Shiny App for visualizing and evaluating handwritten digits.
A Toolbox for Spatial Transcriptomics Analysis
Code repository for project focusing on blood cell detection and diagnostic prediction from peripheral blood slides
A webapp to make visualizing and analyzing CellPathfinder data easier. CellPathfinder is a high content cell image analysis software from Yokogawa. https://terrianl.shinyapps.io/GraphMaster9000/
This repository contains code used to develop an automated bleaching classifier in CoralNet (https://coralnet.ucsd.edu). See README for overview of code, and link to more information on the development of the classifier.
Single cell high-content analysis of three-color immunocytochemistry image data
An R-based system for checking and shrinkage quantification using disc-derived wedges
TubAR (Tuber Analysis in R) provides potato researchers with a simple means of quantitative phenotyping of tuber images through R.
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