kreshuklab/plant-seg
A tool for cell instance aware segmentation in densely packed 3D volumetric images
This tool helps researchers analyze microscopic images of plant cells. It takes 3D volumetric images, typically from confocal or light sheet microscopy, and identifies individual cells within densely packed plant tissues. The output is a clear segmentation of each cell, making it easier for biologists to study plant development and structure.
124 stars.
Use this if you need to precisely identify and count individual cells in 3D microscopic images of plant tissues.
Not ideal if your primary goal is to segment tissues that are not densely packed, or if you are working with non-plant biological samples.
Stars
124
Forks
41
Language
Python
License
MIT
Category
Last pushed
Mar 20, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/kreshuklab/plant-seg"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Related tools
PytorchConnectomics/pytorch_connectomics
PyTorch Connectomics: segmentation toolbox for EM connectomics
segments-ai/segments-ai
Segments.ai Python SDK
afermg/cp_measure
Morphological features from images and masks made easy.
oarriaga/paz
Hierarchical perception library in Python for pose estimation, object detection, instance...
JdeRobot/PerceptionMetrics
A toolkit designed to unify and streamline the evaluation of object detection and segmentation...