Detection, Isolation and Quantification of Myocardial Infarct with Four Different Histological Staining Techniques
| dc.contributor.author | Wu, Xiaobo | en |
| dc.contributor.author | Meier, Linnea | en |
| dc.contributor.author | Liu, Tom X. | en |
| dc.contributor.author | Toldo, Stefano | en |
| dc.contributor.author | Poelzing, Steven | en |
| dc.contributor.author | Gourdie, Robert G. | en |
| dc.date.accessioned | 2024-10-25T13:55:06Z | en |
| dc.date.available | 2024-10-25T13:55:06Z | en |
| dc.date.issued | 2024-10-18 | en |
| dc.date.updated | 2024-10-25T13:42:46Z | en |
| dc.description.abstract | Background/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. | en |
| dc.description.version | Published version | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Wu, 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. | en |
| dc.identifier.doi | https://doi.org/10.3390/diagnostics14202325 | en |
| dc.identifier.uri | https://hdl.handle.net/10919/121388 | en |
| dc.language.iso | en | en |
| dc.publisher | MDPI | en |
| dc.rights | Creative Commons Attribution 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
| dc.title | Detection, Isolation and Quantification of Myocardial Infarct with Four Different Histological Staining Techniques | en |
| dc.title.serial | Diagnostics | en |
| dc.type | Article - Refereed | en |
| dc.type.dcmitype | Text | en |