Lin Yan, Yan Wan, Haonan Liu, Wenlou Liu, Yang Zhao, Hongmei Wang, Juanjuan Tang, Xuanyu Chen, Zhengxiang Han, Xiaobing Qin
{"title":"Deep Learning-Based Analysis of Microscopic Hyperspectral Images of HER2-Stained Breast Cancer Sections for Molecular Status Prediction","authors":"Lin Yan, Yan Wan, Haonan Liu, Wenlou Liu, Yang Zhao, Hongmei Wang, Juanjuan Tang, Xuanyu Chen, Zhengxiang Han, Xiaobing Qin","doi":"10.1002/jbio.70384","DOIUrl":"https://doi.org/10.1002/jbio.70384","url":null,"abstract":"<div>\u0000 \u0000 <p>HER2 assessment in breast cancer relies on immunohistochemistry (IHC) with reflex in situ hybridization for equivocal cases, while conventional bright-field imaging provides limited quantitative optical information. We investigated microscopic hyperspectral imaging (HSI) of HER2-stained sections for slide-level molecular status prediction. HSI data from 43 cases (21 HER2-positive, 22 HER2-negative; 400–1000 nm, 128 bands) were acquired between January 2024 and August 2025. After calibration, optical-density conversion, tissue masking, and Savitzky–Golay smoothing, we developed SpectralMix-MIL, a weakly supervised multiple-instance learning model combining learnable spectral projection (<i>K</i> = 32) with attention pooling. On a patient-level 7:3 train/test split, SpectralMix-MIL achieved an AUROC of 0.923 and AUPRC of 0.910. Repeated stratified fivefold cross-validation yielded mean AUROC 0.904 ± 0.041 and AUPRC 0.892 ± 0.045, while leave-one-out cross-validation yielded AUROC 0.897. These findings support microscopic HSI for quantitative breast cancer molecular phenotyping, pending larger external validation.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 11","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149356120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jiří Bufka, Lenka Vaňková, Jan Schwarz, Magdalena Daumová, Petr Bouř, Josef Sýkora
{"title":"Molecular Profiling of Pediatric Helicobacter pylori Gastritis Using Raman Spectroscopy: Spectral Patterns Corresponding to Local Biochemical Changes","authors":"Jiří Bufka, Lenka Vaňková, Jan Schwarz, Magdalena Daumová, Petr Bouř, Josef Sýkora","doi":"10.1002/jbio.70386","DOIUrl":"https://doi.org/10.1002/jbio.70386","url":null,"abstract":"<p><i>Helicobacter pylori</i> infection is a major cause of chronic gastritis; however, biomolecular alterations in pediatric gastric mucosa remain poorly characterized. Fresh antral and corpus biopsies from 12 infected children and 20 controls yield 165 Raman spectra at 532 nm. Each baseline-corrected spectrum undergoes vector normalization before aggregation within site and child. Patient-level comparisons identify higher relative band areas at 746, 1126, 1300, 1337, 1446, 1583 and 1657 cm<sup>−1</sup> and lower areas at 1002, 1154, 1515 and 2936 cm<sup>−1</sup> (all false-discovery-rate-adjusted <i>p</i> < 0.05). Statistical significance at 1126, 1583 and 1657 cm<sup>−1</sup> depends on the normalization range. The bands have overlapping biomolecular assignments and do not establish absolute concentrations, oxidative stress or apoptosis. Raman spectroscopy provides rapid, label-free molecular fingerprints of pediatric <i>Helicobacter pylori</i> gastritis and supports its potential as a translational optical diagnostic approach.</p>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 11","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.70386","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149356197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiaojing Wu, Zhengduo Yang, Fan Yang, Yong Yang, Siwei Zhu, Li Zhang, Changyu Shen, Xiaocong Yuan
{"title":"Theoretical and Experimental Study of Photoacoustic Spectral Intraoperative Pathological Assessment Using Oral and Breast Cases","authors":"Xiaojing Wu, Zhengduo Yang, Fan Yang, Yong Yang, Siwei Zhu, Li Zhang, Changyu Shen, Xiaocong Yuan","doi":"10.1002/jbio.70385","DOIUrl":"10.1002/jbio.70385","url":null,"abstract":"<div>\u0000 \u0000 <p>Intraoperative, label-free pathological assessment of surgical margins remains a long-standing challenge. Here, we propose an intraoperative pathological diagnostic method based on broadband Photoacoustic Spectral Analysis (bPASA) and validate it from theoretical and experimental perspectives. Theoretically, we employed a spherical droplet framework to study how variations in nuclear radius, acoustic velocity, and density affect photoacoustic spectral features. Experimentally, we used Polystyrene (PS) and Polymethyl Methacrylate (PMMA) microspheres of varying sizes as nuclear phantoms, yielding strong agreement with theoretical predictions and enabling clear discrimination between phantom types. Further, we performed pathological assessment on mouse breast and oral tissues under three specimen forms: tissue sections, fresh tissues, and in vivo samples, and demonstrated that bPASA consistently discriminated between normal and cancerous tissues across all forms. Together, these findings establish bPASA as a rapid, label-free method for intraoperative pathological assessment, offering crucial support for the intraoperative identification of malignant tumors.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 11","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149345240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Longhui Hou, Yaxuan Xiao, Kaixiang Xiao, Xuan Tao, Letian Tang, Jianxin Chen, Xiahui Han, Hong Chen
{"title":"Detection of Stage-Dependent Collagen Remodeling at the Bladder Cancer Invasive Front by Label-Free Multiphoton Imaging","authors":"Longhui Hou, Yaxuan Xiao, Kaixiang Xiao, Xuan Tao, Letian Tang, Jianxin Chen, Xiahui Han, Hong Chen","doi":"10.1002/jbio.70387","DOIUrl":"https://doi.org/10.1002/jbio.70387","url":null,"abstract":"<div>\u0000 \u0000 <p>Accurate T staging is critical for treatment decisions in bladder cancer (BCa), but extracellular matrix collagen remodeling at the tumor invasive front—an invasion correlate—is not routinely quantified. Here, we applied label-free multiphoton microscopy (MPM) integrating second-harmonic generation (SHG) and two-photon excited fluorescence (TPEF) to 57 formalin-fixed paraffin-embedded specimens spanning T0–T3. Eight SHG-derived collagen descriptors profiled architecture across four dimensions: content, fiber morphology, network topology, and spatial organization. We identified a non-monotonic remodeling trajectory: collagen accumulates in non-invasive stages, the network undergoes rarefaction and disorganization at T1, fibers become highly linearized with preferential alignment at T2, and the network re-compacts at T3. Notably, fiber straightness peaked exclusively at T2 (all <i>p</i> < 0.0001) with reduced isotropy, representing an optical phenotype of muscularis propria invasion. These findings demonstrate that label-free SHG imaging enables quantitative characterization of stromal remodeling and provides complementary information for histopathological assessment of BCa invasion.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 11","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149311495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Collagen Profiling by Second Harmonic Generation for Preliminary Discrimination Between Benign Prostatic Hyperplasia and Prostate Cancer","authors":"Wenquan Hu, Jiaxin Zheng, Gangqin Xi, Tao Wang, Huiqiang Wang, Shuangmu Zhuo, Huizhen Xu","doi":"10.1002/jbio.70381","DOIUrl":"10.1002/jbio.70381","url":null,"abstract":"<div>\u0000 \u0000 <p>Prostate cancer (PCa) is a common malignancy in men worldwide. Current diagnosis is limited by nonspecific serum markers, biopsy sampling errors, and subjective Gleason grading, highlighting the demand for objective and quantitative assessment approaches. Second harmonic generation (SHG) imaging enables label-free characterization of collagen architecture remodeling in prostate tissue. We acquired SHG images and developed an automated framework to extract 142 collagen morphological and textural features. Using least absolute shrinkage and selection operator (LASSO) regression for feature selection and regularization, a prostate collagen index (PCI) was established. The PCI showed preliminary discrimination capability between benign prostatic hyperplasia (BPH) and PCa, with an exploratory region of Interest (ROI)-level area under the curve (AUC) of 0.9286 and a primary case-level AUC of 0.9688. These findings provide preliminary evidence supporting the feasibility of a LASSO-driven, SHG-based quantitative framework for integrating multidimensional collagen features and performing exploratory case-level discrimination between BPH and PCa.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 11","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149345238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eudokia Kyriakou, George J. Tserevelakis, Konstantina Terzaki, Petros Tavlas, Chrysanthi Pinelopi Apostolidou, Stefanos Mavrikos, Costas P. Grigoropoulos, Anna Mitraki, Maria Farsari, Giannis Zacharakis
{"title":"Hybrid Confocal Fluorescence and Photoacoustic Microscopy for In-Depth and Noninvasive Imaging of Biomolecule-Functionalized 3D Scaffolds","authors":"Eudokia Kyriakou, George J. Tserevelakis, Konstantina Terzaki, Petros Tavlas, Chrysanthi Pinelopi Apostolidou, Stefanos Mavrikos, Costas P. Grigoropoulos, Anna Mitraki, Maria Farsari, Giannis Zacharakis","doi":"10.1002/jbio.70388","DOIUrl":"https://doi.org/10.1002/jbio.70388","url":null,"abstract":"<p>The precise integration of biomolecules within three-dimensional (3D) scaffolds is essential for tissue engineering and regenerative medicine. However, conventional characterization techniques, such as scanning electron microscopy, are destructive or limited to surface analysis, while confocal fluorescence microscopy is often hindered by scaffold autofluorescence. Here, we introduce a nondestructive hybrid imaging approach combining confocal fluorescence and frequency-domain photoacoustic microscopy for volumetric characterization of biomolecule-functionalized scaffolds. The method was demonstrated on honeycomb-inspired 3D scaffolds fabricated by multiphoton lithography using a zirconium-based hybrid photoresist and functionalized with Fmoc-Asp-OFm amyloid peptide fibrils via gold-ion coating. Confocal fluorescence microscopy effectively resolves the scaffold architecture, whereas photoacoustic imaging selectively reveals the spatial distribution of peptide fibrils on the surface and within the scaffold volume, unaffected by autofluorescence. By decoupling structural and biomolecular information, this complementary approach enables nondestructive volumetric assessment of functionalized 3D microstructures, offering valuable capabilities for biomaterials characterization and quality control.</p>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 11","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.70388","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149311336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xingyu Yang, Zijian Zhang, Xiuju Chen, Philip I. Burgess, Sarah McGhee, Mark Johnson, Ticiana Criddle, Gabriela Czanner, Simon P. Harding, David Wong, Xiaoxin Li, Yalin Zheng, Yaochun Shen
{"title":"Surface Glare Suppression in Retinal Imaging With a Cross-Polarized Line-Scanning Color Fundus Camera","authors":"Xingyu Yang, Zijian Zhang, Xiuju Chen, Philip I. Burgess, Sarah McGhee, Mark Johnson, Ticiana Criddle, Gabriela Czanner, Simon P. Harding, David Wong, Xiaoxin Li, Yalin Zheng, Yaochun Shen","doi":"10.1002/jbio.70380","DOIUrl":"10.1002/jbio.70380","url":null,"abstract":"<p>Fundus imaging is critical for the early detection and management of retinal diseases, yet cost and technical limitations remain barriers to broad implementation, especially in resource-limited settings. Conventional fundus photography and scanning laser ophthalmoscopy (SLO) involve trade-offs in cost, field of view (FOV), color fidelity, and image contrast, and are often affected by corneal surface glare. We present a novel, low-cost line-scanning color fundus camera (LS-CFC) that integrates both line-confocal and polarization-based glare suppression, effectively mitigating corneal surface glare while maintaining high contrast, color accuracy, and a large FOV in nonmydriatic imaging conditions. Using a broadband white LED source, the system avoids the complexity of multilaser alignment and calibration inherent to SLO designs. In clinical tests, the LS-CFC achieved nonmydriatic imaging with an approximately 60° FOV and demonstrated comparable image quality to a standard 45° fundus camera (Carl Zeiss FF450).</p>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 11","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.70380","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149345239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cover: Label-Free Morphometric Profiling of Renal Cell Carcinoma Using Digital Holographic Microscopy and Machine Learning Eva R. Schwark, Yazan A. Almahdi, Ayah A. Farhat, Besa Xhabija","authors":"","doi":"10.1002/jbio.70389","DOIUrl":"https://doi.org/10.1002/jbio.70389","url":null,"abstract":"<p>Living renal cells imaged without stains or labels reveal how cancer reshapes cell architecture. Normal HK2 kidney epithelial cells (top) and SN12C (middle) and UO-31 (bottom) renal carcinoma cells were imaged by digital holographic microscopy, and an optical-thickness map was rendered as a three-dimensional landscape at identical magnification. Normal HK2 cells rise as tall, compact peaks, while UO-31 cancer cells flatten, elongate and spread across the surface. Morphological features derived from these phase images provide a rapid, non-destructive readout of renal cancer cell phenotype.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 11","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.70389","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149356035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Correction to “Refractive Index Engineering for Human Corneal Tissue by Femtosecond Laser Two-Photon Cross-Linking”","authors":"","doi":"10.1002/jbio.70382","DOIUrl":"10.1002/jbio.70382","url":null,"abstract":"<p>\u0000 <span>P. Qi</span>, <span>Z. Zhou</span>, <span>J. An</span>, et al., “ <span>Refractive Index Engineering for Human Corneal Tissue by Femtosecond Laser Two-Photon Cross-Linking</span>,” <i>Journal of Biophotonics</i> <span>19</span>, no. <span>8</span> (<span>2026</span>): e70336. https://doi.org/10.1002/jbio.70336.\u0000 </p><p>Please note complete set of funding information for this article:</p><p>National Science Foundation of China (12574374, W2412044); Russian Science Foundation (25-49-00154); Natural Science Foundation of Tianjin (Grant No. 25JCYBJC01310); Nankai University Eye Institute (NKYKK202302, NKYKK202502).</p><p>Unfortunately the funding information was initially incomplete and this grant number is missing in the article: “Natural Science Foundation of Tianjin (Grant No. 25JCYBJC01310)”.</p><p>We apologize for this error.</p>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 10","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.70382","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149241015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fast Optical Coherence Elastography via Optimized Sampling Density With Preserved Accuracy","authors":"Guangyu Zhang, Zhengshuyi Feng, Alison M. Layton, Chunhui Li, Zhihong Huang","doi":"10.1002/jbio.70376","DOIUrl":"10.1002/jbio.70376","url":null,"abstract":"<p>Optical coherence elastography (OCE) is a non-invasive imaging technique for quantifying tissue stiffness. The spatial resolution of elastography maps is closely related to the spatial sampling density required to adequately represent mechanical features. In this study, we investigated the effect of spatial sampling density on OCE by varying the number of effective sampling points along scanning axes using the proposed phase-gradient velocity estimation method. These methods were validated using agar phantoms and in vivo human facial acne and the results showed that down sampling reduced computational cost by around 69% and up to about 89%. For the down sampling results of the acne dataset, the velocity changed by only 5.82% in an affected lesion. These results provide a practical criterion for reducing acquisition and post-processing time while establishing the quantitative relationship between spatial sampling, elastography accuracy and computational efficiency.</p>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"19 10","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13678474/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149221301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}