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Related Experiment Video

Updated: May 6, 2026

Chromosomics: Detection of Numerical and Structural Alterations in All 24 Human Chromosomes Simultaneously Using a Novel OctoChrome FISH Assay

Chromosomics: Detection of Numerical and Structural Alterations in All 24 Human Chromosomes Simultaneously Using a Novel OctoChrome FISH Assay

Published on: February 6, 2012

MetaChrome: an open-source, user-friendly tool for automated metaphase chromosome analysis.

Md Abdul Kader Sagar¹, Yamini Dalal², Gianluca Pegoraro¹

¹High-Throughput Imaging Facility (HiTIF), Laboratory of Receptor Biology and Gene Expression, Center for Cancer Research, NCI, NIH, Bethesda, MD, USA.

Methods (San Diego, Calif.)

|December 31, 2025

Summary

MetaChrome, an open-source software, enhances DNA Fluorescence In Situ Hybridization (DNA FISH) analysis by automating chromosome segmentation and signal colocalization. This tool improves accuracy and efficiency in high-throughput chromosome studies.

Keywords:

Chromosome segmentation Image analysis Machine learning Metaphase chromosomes

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Last Updated: May 6, 2026

Chromosomics: Detection of Numerical and Structural Alterations in All 24 Human Chromosomes Simultaneously Using a Novel OctoChrome FISH Assay

Chromosomics: Detection of Numerical and Structural Alterations in All 24 Human Chromosomes Simultaneously Using a Novel OctoChrome FISH Assay

Published on: February 6, 2012

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Published on: August 19, 2014

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation

Published on: September 4, 2017

Area of Science:

Genetics
Molecular Biology
Bioinformatics

Background:

DNA Fluorescence In Situ Hybridization (DNA FISH) is crucial for chromosome biology and genetics.
Automating DNA FISH image analysis via High-Throughput Imaging (HTI) faces challenges in chromosome segmentation and signal colocalization.
Existing commercial tools offer partial solutions, highlighting the need for open-source software with robust segmentation and colocalization capabilities.

Purpose of the Study:

To develop an open-source software platform for automated metaphase chromosome analysis.
To address the unmet need for robust chromosome segmentation and comprehensive colocalization analysis in DNA FISH studies.
To improve the accuracy and efficiency of high-throughput chromosome analysis workflows.

Main Methods:

Developed MetaChrome, an open-source software with a graphical user interface for automated metaphase chromosome analysis.
Utilized fine-tuned deep learning models, specifically a Cellpose segmentation model, for automated metaphase chromosome segmentation.
Integrated colocalization analysis for chromosome-specific FISH probes and immunofluorescent-labeled proteins.

Main Results:

MetaChrome achieves enhanced segmentation accuracy compared to traditional methods.
The fine-tuned deep learning model enables precise, automated assignment of DNA FISH spots to individual chromosomes.
The software facilitates rapid identification of chromosomal abnormalities and reduces human error.

Conclusions:

MetaChrome provides a powerful open-source solution for automated DNA FISH analysis.
The platform addresses key bottlenecks in chromosome biology research by advancing high-throughput chromosome analysis.
MetaChrome enhances the study of structural abnormalities, gene mapping, and chromosomal rearrangements.