microscopy-images
There are 118 repositories under microscopy-images topic.
Borda/pyImSegm
Image segmentation - general superpixel segmentation & center detection & region growing
computational-cell-analytics/micro-sam
Segment Anything for Microscopy
blakeliu/awesome-cell-detection-segmentation
nucleus/cell and histopathology image classification,detection,segmentation
alexander-rakhlin/ICIAR2018
Our solution for ICIAR 2018 Grand Challenge
seung-lab/cloud-volume
Read and write Neuroglancer datasets programmatically.
scalableminds/webknossos
Visualize, share and annotate your large 3D images online
sakoho81/miplib
A Python software library with a variety of functions for (optical) microscopy image restoration, reconstruction and analysis.
mastodon-sc/mastodon
Mastodon – a large-scale tracking and track-editing framework for large, multi-view images.
guiwitz/microfilm
Creating figures and animations for multi-channel images with a focus on microscopy.
Saurabh23/mSRGAN-A-GAN-for-single-image-super-resolution-on-high-content-screening-microscopy-images.
Generative Adversarial Network for single image super-resolution in high content screening microscopy images
yfukai/laptrack
Particle tracking by solving linear assignment problem.
constantinpape/elf
Utils and convenience functions for large-scale bio-image analysis.
Open-Science-Tools/nd2reader
Pure Python library for reading NIS Elements ND2 images and metadata
lens-biophotonics/ZetaStitcher
ZetaStitcher is a tool designed to stitch large volumetric images such as those produced by Light-Sheet Fluorescence Microscopes.
constantinpape/cluster_tools
Distributed segmentation for bio-image-analysis
crosszamirski/Label-free-prediction-of-Cell-Painting-from-brightfield-images
Label Free Prediction of Cell Painting from Brightfield Images
SandoghdarLab/PiSCAT
PiSCAT is a python-based package with a graphical user interface for performing high-performance analysis on a variety of iSCAT measurements.
zhengyang-wang/GVTNets
Global Voxel Transformer Networks (GVTNets)
sakoho81/pyimagequalityranking
A Python library for easily calculating image-quality related features from images
dmattek/dzPlateViewer
Deep Zoom Plate Viewer for microscopy images
Halogenek/microscope-lamp
USB-C powered LED fixture that fits on top of a microscope objective
MIDA-group/CytoBrowser
CytoBrowser, a JavaScript and Node.js driven environment for fast and accessible collaborative online visualization, assessment, and annotation of very large microscopy images.
pablocastilla/angiogenesis-analyzer
This project is done for the Biomedicine, Biotechnology and Public Healthcare department of the University of Cádiz. They idea is to automatize the processing of the microscopic images of their experiments related to angiogenesis.
tnmichael309/kaggle-nuclei-segmentation
Kaggle Nuclei Segmentation (top 4% solution)
cellimnet/scellseg-publish
A style-aware deep learning model for adaptive cell instance segmentation by contrastive fine-tuning.
WeisongZhao/img2vid
img2vid
SebastienTs/LOBSTER
Little OBjects Segmentation and Tracking EnviRonment
cselab/stitch
A scalable implementation of WobblyStitcher for 3D microscopy images
tinalasisi/fibermorph
Python package for image analysis of hair curvature and cross-section
elgw/nd2tool
Convert Nikon nd2 files to tiff
IMBalENce/EM-tool
an ImageJ toolset for EM image analysis
RichKMLS/leukoRight
A web app that uses a custom-built Keras model to recognize and classify white blood cells from microscopic images. It can distinguish between different types of WBCs and identify artifacts and bursted cells. I created this app as a way to explore image recognition technologies and to learn how to develop Keras models from scratch.
rsenft1/MicCheck
Microscopy Metadata Checklist Generator in Shiny
yuanchenyang/multifocal-stitching
Python package for microscope image stitching, robust to image pairs taken at different focal lengths and translations
cellimnet/microsnoop-publish
Microsnoop: A generalist tool for microscopy image representation
melchisedech333/laser-scanning-microscopy
🧪 Reproducing the concept of Confocal Laser Scanning Microscope. Using Arduino and easily found materials. Generating images in Grayscale just for fun.