Wu, XiaoboMeier, LinneaLiu, Tom X.Toldo, StefanoPoelzing, StevenGourdie, Robert G.2024-10-252024-10-252024-10-18Wu, X.; Meier, L.; Liu, T.X.; Toldo, S.; Poelzing, S.; Gourdie, R.G. Detection, Isolation and Quantification of Myocardial Infarct with Four Different Histological Staining Techniques. Diagnostics 2024, 14, 2325.https://hdl.handle.net/10919/121388Background/Objectives: 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. Methods: 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. Results: 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. Conclusions: 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.application/pdfenCreative Commons Attribution 4.0 InternationalArticle - Refereed2024-10-25https://doi.org/10.3390/diagnostics14202325