Deep learning-enabled virtual histological staining of biological samples
California NanoSystems Institute · University of California, Los Angeles
Abstract
Histological staining is the gold standard for tissue examination in clinical pathology and life-science research, which visualizes the tissue and cellular structures using chromatic dyes or fluorescence labels to aid the microscopic assessment of tissue. However, the current histological staining workflow requires tedious sample preparation steps, specialized laboratory infrastructure, and trained histotechnologists, making it expensive, time-consuming, and not accessible in resource-limited settings. Deep learning techniques created new opportunities to revolutionize staining methods by digitally generating histological stains using trained neural networks, providing rapid, cost-effective, and accurate…
Citation impact
- FWCI
- 46.33
- Percentile
- 100%
- References
- 104
Authors
6- BBBijie BaiCorresponding
California NanoSystems Institute, University of California, Los Angeles
- XYXilin Yang
California NanoSystems Institute, University of California, Los Angeles
- YLYuzhu Li
California NanoSystems Institute, University of California, Los Angeles
- YZYijie Zhang
California NanoSystems Institute, University of California, Los Angeles
- NPNir Pillar
California NanoSystems Institute, University of California, Los Angeles
Topics & keywords
- Staining
- Stain
- Computer science
- Workflow
- Pathology
- Artificial intelligence
- Medicine
- Database
- Industry, innovation and infrastructure