TRACMIT

TRACMIT performs high-throughput tracking and analysis of individual human cells on micropatterns to identify mitotic events and quantify mitotic spindle orientation during metaphase from time-lapse fluorescence microscopy (e.g., mCherry::histone 2B).


Key Features:

  • Fiji/ImageJ integration: Implemented as a series of macros running within the Fiji/ImageJ platform to leverage established image-processing functions.
  • High-throughput analysis: Enables parallel analysis of large numbers of cells suitable for screening-scale time-lapse datasets.
  • Micropattern filtering: Identifies micropatterns containing a single viable cell and excludes dying or compromised cells for focused analysis.
  • Automated spindle orientation assessment: Determines mitotic spindle orientation during metaphase in human cells expressing mCherry::histone 2B by tracking back from anaphase figures in time-lapse recordings to assess spindle angle relative to the micropattern.
  • Manual validation support: Provides the ability to perform manual validation of selected cell traces to confirm automated selections and measurements.
  • Micropattern shape flexibility: Supports analysis of cells plated on various micropattern shapes for adaptable experimental designs.
  • Data efficiency: Processes raw data directly without saving intermediate images to reduce storage and I/O overhead.

Scientific Applications:

  • Spindle positioning studies: Quantification of mitotic spindle orientation during metaphase in human cells expressing mCherry::histone 2B.
  • Cell division and mitosis research: Analysis of mitotic events and phenotypes at single-cell resolution across large datasets.
  • Cytoskeletal dynamics: Investigation of cytoskeleton-related phenotypes linked to spindle orientation and mitotic progression.
  • High-throughput screening: Large-scale screening of dynamic cellular phenotypes using time-lapse fluorescence microscopy on micropatterned substrates.

Methodology:

Implemented as Fiji/ImageJ macros that filter micropatterns to single viable cells, track back from anaphase figures in time-lapse fluorescence recordings (mCherry::histone 2B) to measure metaphase spindle angle relative to the micropattern, and process raw data without saving intermediate images.

Topics

Details

License:
BSD-3-Clause
Tool Type:
plugin
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Java
Added:
7/7/2018
Last Updated:
11/25/2024

Operations

Publications

Burri O, Wolf B, Seitz A, Gönczy P. TRACMIT: An effective pipeline for tracking and analyzing cells on micropatterns through mitosis. PLOS ONE. 2017;12(7):e0179752. doi:10.1371/journal.pone.0179752. PMID:28746386. PMCID:PMC5528263.

PMID: 28746386
PMCID: PMC5528263
Funding: - European Union: MEHTRICS project (FP7- HEALTH – F5 – 2011 - 278758EU) - Deutsche Krebshilfe: Mildred-Scheel-Postdoktorandenstipendium (110470)

Documentation