ArticleAmerican journal of clinical pathology2024
Rapid examination of lung tissues by nonlinear microscopy.
Article in American journal of clinical pathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Rapid evaluation of muscularis propria in transurethral resection of bladder tumour specimens using non-linear microscopy (NLM).Journal of clinical pathology · 2026Article
- Real-time histological evaluation of gastrointestinal tissue using non-linear microscopy.Journal of clinical pathology · 2025Article
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Authors and funding
5 authors.
Funding
Abstract
objectivesTraditional histopathology is a time-intensive and labor-intensive process involving tissue formalin fixation, paraffin embedding, and microtoming into thin sections for H&E staining. Frozen section analysis is a modality used during surgery to quickly evaluate tissue, but it has limitations, such as the size and number of the specimens that can be analyzed as well as difficulties with fatty and bony tissues. Our objective was to investigate the performance of nonlinear microscopy, a fluorescence microscopy technique, for the rapid examination of resected lung tumors.
methodsIn this proof-of-principle study, nonlinear microscopy imaging of resected lung tissue was performed on a total of 73 tissue specimens collected from 13 patients who underwent lobectomy, segmentectomy, or wedge resection for pulmonary nodules.
resultsTwo pathologists reviewed the digital nonlinear microscopy images in comparison to the corresponding histopathologic H&E slides from a variety of pulmonary pathologies.
conclusionsThis study demonstrated that nonlinear microscopy readily replicates traditional H&E staining for both lung tumors and nonneoplastic pulmonary structures. Nonlinear microscopy provides many advantages over frozen section analysis and is an optical imaging platform that has the potential to augment rapid pathologic evaluation of resected tissues in the age of digital pathology.
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