Detection, Isolation and Quantification of Myocardial Infarct with Four Different Histological Staining Techniques

The 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 isolati...

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Bibliographic Details
Published in:Diagnostics (Basel) 2024-10, Vol.14 (20), p.2325
Main Authors: Wu, Xiaobo, Meier, Linnea, Liu, Tom X, Toldo, Stefano, Poelzing, Steven, Gourdie, Robert G
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Care and treatment
color-based
Complications and side effects
fibrosis
Health aspects
Heart attack
Heart attacks
Homeopathy
Ischemia
Laboratory animals
Materia medica and therapeutics
MATLAB
myocardial infarction
quantification
Risk factors
staining techniques
Standard deviation
Therapeutics
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Summary:The 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. Our 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. We 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. We 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.
ISSN:2075-4418
2075-4418
DOI:10.3390/diagnostics14202325