Academic Journal
Optimization of whole slide imaging scan settings for computer vision using human lung cancer tissue
| العنوان: | Optimization of whole slide imaging scan settings for computer vision using human lung cancer tissue |
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| المؤلفون: | GEUBBELMANS, Melvin, CLAES, Jari, NIJSTEN, Kim, GERVOIS, Pascal, APPELTANS, Simon, MARTENS, Sandrina, WOLFS, Esther, THOMEER, Michiel, VALKENBORG, Dirk, FAES, Christel, Zhang, Xiaohui |
| المساهمون: | NIJSTEN, Kim/0000-0001-8085-8311, GEUBBELMANS, Melvin, CLAES, Jari, NIJSTEN, Kim, GERVOIS, Pascal, APPELTANS, Simon, MARTENS, Sandrina, WOLFS, Esther, THOMEER, Michiel, VALKENBORG, Dirk, FAES, Christel, Zhang, Xiaohui |
| بيانات النشر: | PUBLIC LIBRARY SCIENCE |
| سنة النشر: | 2024 |
| المجموعة: | Document Server@UHasselt (Universiteit Hasselt) |
| مصطلحات موضوعية: | Humans, Image Processing, Computer-Assisted, Algorithms, Microscopy, Cell Nucleus, Lung Neoplasms |
| الوصف: | Digital pathology has become increasingly popular for research and clinical applications. Using high-quality microscopes to produce Whole Slide Images of tumor tissue enables the discovery of insights into biological aspects invisible to the human eye. These are acquired through downstream analyses using spatial statistics and artificial intelligence. Determination of the quality and consistency of these images is needed to ensure accurate outcomes when identifying clinical and subclinical image features. Additionally, the time-intensive process of generating high-volume images results in a trade-off that needs to be carefully balanced. This study aims to determine optimal instrument settings to generate representative images of pathological tissue using digital microscopy. Using various settings, an H&E stained sample was scanned using the ZEISS Axio Scan.Z1. Next, nucleus segmentation was performed on resulting images using StarDist. Subsequently, detections were compared between scans using a matching algorithm. Finally, nucleus-level information was compared between scans. Results indicated that while general matching percentages were high, similarity between information from replicates was relatively low. Additionally, settings resulting in longer scanning times and increased data volume did not increase similarity between replicates. In conclusion, the scan setting ultimately deemed optimal combined consistent and qualitative performance with low throughput time. ; Funding All authors gratefully acknowledge funding by Bijzonder Onderzoeksfonds UHasselt (project "Future proof pathology for predictive medicine and disease prognosis based on tumor heterogeneity", project number R-11405), as well as funding by the Flemish Government under the Onderzoeksprogramma Artificie¨le Intelligentie (AI) Vlaanderen program (https://www. flandersairesearch.be/en). The sponsors or funders did not play any role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. ... |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| Relation: | Plos One, 19 (9) (Art N° e0309740); http://hdl.handle.net/1942/44408; 19; 001309221100009 |
| DOI: | 10.1371/journal.pone.0309740 |
| الاتاحة: | http://hdl.handle.net/1942/44408 https://doi.org/10.1371/journal.pone.0309740 |
| رقم الانضمام: | edsbas.72C4DBB0 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1371/journal.pone.0309740 |
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