openmedical/registry
← registry

DeepTrack2

imported

software/deeptrack2

DeepTrack2 is a modular Python library for generating, manipulating, and analyzing image data pipelines for machine learning and experimental imaging.

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

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
DeepTrackAI
Country
unknown
Documentation
unknown
Tags
biophysics · computational-pipelines · data-augmentation · deep-learning · image-processing · machine-learning · microscopy · optics
Regulatory
unknown
built by · 6

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

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.

  • nrefocusbiophysics · microscopy

    python library for numerical focusing (refocusing, autofocusing) of complex wave fields

  • FPMmicroscopy · optics

    Matlab simulation of Fourier ptychographic microscopy (FPM).

  • PyHoloscopemicroscopy · optics

    Optimised python package for digital holographic microscopy, both inline and off-axis, with GPU support.

  • A Python module intended to make cell segmentation, tracking and subsequent (mostly biophysical) statisticial analysis easy

  • OpenHImicroscopy · optics

    Self‑calibrated neuromorphic hyperspectral imaging pipeline for event cameras with diffractive illumination. Includes end‑to‑end tools for RAW segmentation, multi‑window time‑warping compensation,…

  • openUC2microscopy · optics

    Modular open-science microscope system built from 3D-printed cubes on a magnetic baseplate, reconfigurable for brightfield, fluorescence and light-sheet imaging.

sources
  1. api.github.com/repos/DeepTrackAI/DeepTrack2
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-05, 243 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/4.json→ .entries["deeptrack2"]

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