Workflow Type: Jupyter
Stable

Segmentation and Reference Point Detection for Laser Capture Microdissection (LMD)

Project Summary

This repository contains the code for a Cellpose-SAM & pyLMD project dedicated to automating cell boundary and reference point detection in microscopic images used for Laser Capture Microdissection (LMD).

The primary function of this repository is to identify the boundaries of target cells and detect precise reference points from laser engraved 'T' structures and is designed to enhance the reproducibility of the LMD workflow.

Version History

v.1.0.3 (latest) Created 13th May 2026 at 18:13 by Devon Siemes

fix: general doi for Zenodo


Frozen v.1.0.3 bfd7c27

v1.0.1 (earliest) Created 7th May 2026 at 10:57 by Devon Siemes

docs: add example data & correspondence


Frozen v1.0.1 e887c5c
help Creators and Submitter
Creators
Submitter
Citation
Siemes, D. (2026). Segmentation and Reference Point Detection for Laser Capture Microdissection (LMD). WorkflowHub. https://doi.org/10.48546/WORKFLOWHUB.WORKFLOW.2168.1
Activity

Views: 392   Downloads: 71

Created: 7th May 2026 at 10:57

Last updated: 13th May 2026 at 18:13

Annotated Properties
Topic annotations
Operation annotations
help Attributions

None

Total size: 31 KB
Powered by
(v.1.17.3)
Copyright © 2008 - 2026 The University of Manchester and HITS gGmbH