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.