openmedical/registry
← registry

FLIMngo

imported

software/flimngo

Deep learning for fluorescence lifetime predictions

Machine-generated from the listed sources and not yet reviewed by a human.

FLIMngo project image
GitHub preview card for SofiaKapsiani/FLIMngo. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
deep-learning · flim · fluorescence · fluorescence-lifetime · lifetime · machine-learning · microscopy · regression · yolo · yolov5
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • HILIGTHer_FLIM_DigitalTwinflim · fluorescence · microscopy

    FLIM Digital Twin

  • FLUTEflim · microscopy

    Fluorescence Lifetime Ultimate Explorer (FLUTE) is a GUI for exploring and analyzing Fluorescence Lifetime Microscopy (FLIM) data

  • ChromaticAberrationCorrectionmicroscopy · regression

    Codes to measure and then correct chromatic aberration.

  • This repo offers a streamlined segmentation pipeline combining YOLO for region prompting with SAM for high-resolution mask generation — tailored for medical imaging. It’s lightweight, adaptable, and…

  • cytoselffluorescence · microscopy

    Self-supervised models for encoding protein localization patterns from microscopy images

  • flikafluorescence · microscopy

    An interactive image processing program for biologists written in Python.

sources
  1. api.github.com/repos/SofiaKapsiani/FLIMngo
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2025-06-17, 8 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/47.json→ .entries["flimngo"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.