ArticleDiagnostics (Basel, Switzerland)2024
Detection, Isolation and Quantification of Myocardial Infarct with Four Different Histological Staining Techniques.
Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- An Integrated Evaluation Framework for Adult Heart Regeneration.Journal of cellular and molecular medicine · 2026Article
- Time to Reperfusion Dictates Cardiac Function and Myocardial Strain in a 7-Tesla Magnetic Resonance Imaging Rat Model.Journal of cardiovascular development and disease · 2025Article
- Histopathological Analysis of Myocardial Remodeling Following Heart Failure: A Cadaveric Case Report.Cureus · 2025Article
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6 authors.
Funding
Abstract
BACKGROUND/
objectivesThe precise quantification of myocardial infarction is crucial for evaluating therapeutic strategies. We developed a robust, color-based semi-automatic algorithm capable of infarct region detection, isolation and quantification with four different histological staining techniques, and of the isolation and quantification of diffuse fibrosis in the heart.
methodsOur method is developed based on the color difference in the infarct and non-infarct regions after histological staining. Mouse cardiac tissues stained with Masson's trichrome (MTS), hematoxylin and eosin (H&E), 2,3,5-Triphenyltetrazolium chloride and picrosirius red were included to demonstrate the performance of our method.
resultsWe demonstrate that our algorithm can effectively identify and produce a clear visualization of infarct tissue in the four staining techniques. Notably, the infarct region on an H&E-stained tissue section can be clearly visualized after processing. The MATLAB-based program we developed holds promise for infarct quantification. Additionally, our program can isolate and quantify diffuse fibrotic elements from an MTS-stained cardiac section, which suggests the algorithm's potential for evaluating pathological cardiac fibrosis in diseased cardiac tissues.
conclusionsWe demonstrate that this color-based algorithm is capable of accurately identifying, isolating and quantifying cardiac infarct regions with different staining techniques, as well as diffuse and patchy fibrosis in MTS-stained cardiac tissues.
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