Microscopy Analysis
Showing 9 of 9 projects
A tool for cell instance aware segmentation in densely packed 3D volumetric images, originally developed for plant tissues.
A deep learning tool for automatic axon and myelin segmentation from microscopy images using convolutional neural networks.
A Python toolbox for analyzing smFISH microscopy images, including spot detection and cell segmentation.
An R package for image processing and analysis with a focus on microscopy and biological imaging.
A graphical interface for segmenting yeast cells in microscopy images using convolutional neural networks.
A MATLAB-based deep learning platform for automated cell division tracking and replicative lifespan analysis from microscopy image sequences.
An R package for importing and visualizing bacterial microscopy segmentation and fluorescence data using ggplot2.
A Python library for analyzing mRNA and protein spatial and temporal distributions in single-cell confocal microscopy images.
A deep learning model that identifies and segments nuclei in microscopy images using Mask R-CNN.
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