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Optical-Resolution Photoacoustic Microscopy-Based Virtual Staining: A Wavelet-Enhanced Contrastive Translation Approach With Structure Preservation.

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Τίτλος: Optical-Resolution Photoacoustic Microscopy-Based Virtual Staining: A Wavelet-Enhanced Contrastive Translation Approach With Structure Preservation.
Συγγραφείς: Mu R; Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing, China., Guo S; Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing, China., Xie Z; Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing, China., Li D; Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing, China., An X; Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing, China., Li J; China-Japan Friendship Hospital, Beijing, China., Han Y; Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing, China., Liu Z; Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing, China., Niu C; Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing, China., Yang Q; Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing, China., Liu Q; Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing, China.
Πηγή: Journal of biophotonics [J Biophotonics] 2026 Jun; Vol. 19 (6), pp. e70308.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Wiley-VCH Country of Publication: Germany NLM ID: 101318567 Publication Model: Print Cited Medium: Internet ISSN: 1864-0648 (Electronic) Linking ISSN: 1864063X NLM ISO Abbreviation: J Biophotonics Subsets: MEDLINE
Imprint Name(s): Original Publication: Weinheim : Wiley-VCH
Ιατρικοί όροι (MeSH): Image Processing, Computer-Assisted*/methods , Microscopy*/methods , Photoacoustic Techniques* , Signal-To-Noise Ratio* , Wavelet Analysis* , Optical Phenomena*, Colorectal Neoplasms/diagnostic imaging ; Colorectal Neoplasms/pathology ; Humans ; Staining and Labeling
Περίληψη: Photoacoustic microscopy (PAM) provides label-free and high-resolution imaging capabilities. However, its optical absorption-based contrast differs fundamentally from hematoxylin and eosin (H&E) staining, hindering integration into standard pathological interpretation workflows and limiting clinical translation and adoption. To address this limitation, we employ a low-cost, radiation-free 532 nm optical-resolution PAM (OR-PAM) system to construct a specimen-level cross-modal dataset for colorectal cancer. Based on this dataset, we propose a virtual H&E staining generation workflow that eliminates pixel-level alignment, enabling conversion of single-wavelength OR-PAM image data into H&E-style images with interpretable tissue structures. Quantitative evaluations demonstrate that our method's virtual sections outperform state-of-the-art unsupervised image-to-image translation models in overall structural fidelity, visual authenticity, and distribution consistency across key assessment metrics. This indicates that virtual staining can act as an efficient visualization layer for preliminary pathological assessment, offering a potential translational pathway for PAM in colorectal cancer clinical imaging.
(© 2026 Wiley‐VCH GmbH.)
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Grant Information: 22019821001 Beijing Municipal Education Commission; L252031 Beijing Natural Science Foundation; 4244104 Beijing Natural Science Foundation; BIPTAAI-2021-004 Climbing Program Foundation at Beijing Institute of Petrochemical Technology
Contributed Indexing: Keywords: colorectal cancer; contrastive learning; deep learning; photoacoustic imaging; unpaired image translation
Entry Date(s): Date Created: 20260610 Date Completed: 20260610 Latest Revision: 20260610
Update Code: 20260611
DOI: 10.1002/jbio.70308
PMID: 42265985
Βάση Δεδομένων: MEDLINE
Περιγραφή
ISSN:1864-0648
DOI:10.1002/jbio.70308