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Journal of Biophotonics最新文献

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Raman Spectroscopic Analysis of Urinary Creatine and Phosphate in Athletes: Pre- and Post-Training Assessment 运动员尿液肌酸和磷酸盐的拉曼光谱分析：训练前和训练后评估
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2024-11-12 DOI: 10.1002/jbio.202400210
Letícia C. S. Santos, Landulfo Silveira Jr, Marcos T. T. Pacheco
{"title":"Raman Spectroscopic Analysis of Urinary Creatine and Phosphate in Athletes: Pre- and Post-Training Assessment","authors":"Letícia C. S. Santos,&nbsp;Landulfo Silveira Jr,&nbsp;Marcos T. T. Pacheco","doi":"10.1002/jbio.202400210","DOIUrl":"10.1002/jbio.202400210","url":null,"abstract":"<div>\u0000 \u0000 <p>The aim of this study was to detect biochemical components in the urine of bodybuilders who ingested creatine pretraining compared to individuals who did not ingest creatine after physical exercise using Raman spectroscopy. Twenty volunteers practicing bodybuilding were selected to collect pre- and post-training urine samples, where 10 volunteers ingested creatine 30 min before pretraining urine collection (creatine group), and 10 did not (control group). The samples were subjected to Raman spectroscopy, and the spectra of both creatine and control groups and the difference (post—pre) for both groups were analyzed. Principal component analysis (PCA) technique was applied to the samples. The results showed peaks of creatine and phosphate in urine after training (creatine post-training group), suggesting that part of the creatine was absorbed and metabolized, and part was excreted. Raman spectroscopy could be applied to detect biocompounds in urine, such as unmetabolized creatine and phosphate.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142635111","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}
引用次数: 0
Feasibility Study of Label-Free Raman Spectroscopy for Parathyroid Gland Identification 无标签拉曼光谱鉴定甲状旁腺的可行性研究
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2024-11-11 DOI: 10.1002/jbio.202400220
Hao Wang, Sisi Guo, Ruoyu Zhang, Jing Yao, Wen Tian, Jianfeng Wang
{"title":"Feasibility Study of Label-Free Raman Spectroscopy for Parathyroid Gland Identification","authors":"Hao Wang,&nbsp;Sisi Guo,&nbsp;Ruoyu Zhang,&nbsp;Jing Yao,&nbsp;Wen Tian,&nbsp;Jianfeng Wang","doi":"10.1002/jbio.202400220","DOIUrl":"10.1002/jbio.202400220","url":null,"abstract":"<div>\u0000 \u0000 <p>We aim to evaluate the feasibility of Raman spectroscopy for parathyroid gland (PG) identification during thyroidectomy. Using a novel side-viewing handheld Raman probe, a total of 324 Raman spectra of four tissue types (i.e., thyroid, lymph node, PG, and lipid) commonly encountered during thyroidectomy were rapidly (&lt; 3 s) acquired from 80 tissue sites (thyroid [<i>n</i> = 10], lymph node [<i>n</i> = 10], PG [<i>n</i> = 40], lipid [<i>n</i> = 20]) of 10 euthanized Wistar rats. Two partial least-squares (PLS)-discriminant analysis (DA) detection models were developed, differentiating the lipid and nonlipid (i.e., thyroid, lymph node, and PG) tissues with an accuracy of 100%, and PG, lymph node, and thyroid could be detected with an accuracy of 98.4%, 93.9%, and 95.4% respectively. This work demonstrates the feasibility of Raman spectroscopy technique for PG identification and protection during thyroidectomy at the molecular level.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142635092","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}
引用次数: 0
SFNet: Spatial and Frequency Domain Networks for Wide-Field OCT Angiography Retinal Vessel Segmentation SFNet：用于宽视场 OCT 血管造影视网膜血管分割的空间和频率域网络。
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2024-11-11 DOI: 10.1002/jbio.202400420
Sien Li, Fei Ma, Fen Yan, Xiwei Dong, Yanfei Guo, Jing Meng, Hongjuan Liu
{"title":"SFNet: Spatial and Frequency Domain Networks for Wide-Field OCT Angiography Retinal Vessel Segmentation","authors":"Sien Li,&nbsp;Fei Ma,&nbsp;Fen Yan,&nbsp;Xiwei Dong,&nbsp;Yanfei Guo,&nbsp;Jing Meng,&nbsp;Hongjuan Liu","doi":"10.1002/jbio.202400420","DOIUrl":"10.1002/jbio.202400420","url":null,"abstract":"<div>\u0000 \u0000 <p>Automatic segmentation of blood vessels in fundus images is important to assist ophthalmologists in diagnosis. However, automatic segmentation for Optical Coherence Tomography Angiography (OCTA) blood vessels has not been fully investigated due to various difficulties, such as vessel complexity. In addition, there are only a few publicly available OCTA image data sets for training and validating segmentation algorithms. To address these issues, we constructed a wild-field retinal OCTA segmentation data set, the Retinal Vessels Images in OCTA (REVIO) dataset. Second, we propose a new retinal vessel segmentation network based on spatial and frequency domain networks (SFNet). The proposed model are tested on three benchmark data sets including REVIO, ROSE and OCTA-500. The experimental results show superior performance on segmentation tasks compared to the representative methods.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142635113","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}
引用次数: 0
Necrotizing Enterocolitis Detection in Premature Infants Using Broadband Optical Spectroscopy 利用宽带光学光谱仪检测早产儿坏死性小肠结肠炎
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2024-11-11 DOI: 10.1002/jbio.202400273
Ethan Flowerday, Ali Daneshkhah, Yuanzhe Su, Vadim Backman, Seth D. Goldstein
{"title":"Necrotizing Enterocolitis Detection in Premature Infants Using Broadband Optical Spectroscopy","authors":"Ethan Flowerday,&nbsp;Ali Daneshkhah,&nbsp;Yuanzhe Su,&nbsp;Vadim Backman,&nbsp;Seth D. Goldstein","doi":"10.1002/jbio.202400273","DOIUrl":"10.1002/jbio.202400273","url":null,"abstract":"<p>Necrotizing enterocolitis (NEC) is a devastating disease affecting premature infants. Broadband optical spectroscopy (BOS) is a method of noninvasive optical data collection from intra-abdominal organs in premature infants, offering potential for disease detection. Herein, a novel machine learning approach, iterative principal component analysis (iPCA), is developed to select optimal wavelengths from BOS data collected in vivo from neonatal intensive care unit (NICU) patients for NEC classification. Neural network models were trained for classification, with a reduced-feature model distinguishing NEC with an accuracy of 88%, a sensitivity of 89%, and a specificity of 88%. While whole-spectrum models performed the best for accuracy and specificity, a reduced feature model excelled in sensitivity, with minimal cost to other metrics. This research supports the hypothesis that the analysis of human tissue via BOS may permit noninvasive disease detection. Furthermore, a medical device optimized with these models may potentially screen for NEC with as few as seven wavelengths.</p>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.202400273","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142635096","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}
引用次数: 0
Label-Free Detection of Breast Phyllodes Tumors Based on Multiphoton Microscopy 基于多光子显微镜的乳腺植物瘤无标记检测技术
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2024-11-09 DOI: 10.1002/jbio.202400392
Xi Chen, Junzhen Jiang, Liwen Hu, Xiaoli Su, Zheng Zhang, Xiong Zhang, Tao Zhong, Jianping Huang, Shulian Wu, Lina Liu, Jianxin Chen, Liqin Zheng, Xingfu Wang
{"title":"Label-Free Detection of Breast Phyllodes Tumors Based on Multiphoton Microscopy","authors":"Xi Chen,&nbsp;Junzhen Jiang,&nbsp;Liwen Hu,&nbsp;Xiaoli Su,&nbsp;Zheng Zhang,&nbsp;Xiong Zhang,&nbsp;Tao Zhong,&nbsp;Jianping Huang,&nbsp;Shulian Wu,&nbsp;Lina Liu,&nbsp;Jianxin Chen,&nbsp;Liqin Zheng,&nbsp;Xingfu Wang","doi":"10.1002/jbio.202400392","DOIUrl":"10.1002/jbio.202400392","url":null,"abstract":"<div>\u0000 \u0000 <p>Phyllodes tumors (PTs) are rare breast stroma neoplasms, and their accurate identification at various stages is essential for personalized patient treatment. In this study, multiphoton microscopy (MPM) with two-photon excited fluorescence (TPEF) and second harmonic generation (SHG) imaging was used for label-free detection and differentiation of PTs and normal breast tissue. An automated image processing strategy was developed to quantify changes in collagen fiber morphology within the stroma and boundary of PTs, establishing optical diagnostic characteristics of PTs using MPM. The results demonstrated that MPM could be used for the detection of different stages of PTs, and the morphological alterations in collagen fibers could serve as critical indicators of PT malignancy, offering new insights for the diagnosis and grading of benign, borderline, and malignant PTs. It lays the groundwork for the future application of compact MPM for the rapid detection and diagnosis of PTs.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142635095","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}
引用次数: 0
Wavelet Phase Coherence Analysis of Oxyhemoglobin and DeoxyHemoglobin Oscillations to Investigate the Relationship Between Cups of Cupping Therapy 对氧合血红蛋白和脱氧血红蛋白振荡的小波相干分析，以研究拔罐疗法杯之间的关系。
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2024-11-08 DOI: 10.1002/jbio.202400337
Liwan Huang, Pu-Chun Mo, Mansoureh Samadi, Wei-Cheng Shen, Hongjun Yu, Manuel Hernandez, Yih-Kuen Jan
{"title":"Wavelet Phase Coherence Analysis of Oxyhemoglobin and DeoxyHemoglobin Oscillations to Investigate the Relationship Between Cups of Cupping Therapy","authors":"Liwan Huang,&nbsp;Pu-Chun Mo,&nbsp;Mansoureh Samadi,&nbsp;Wei-Cheng Shen,&nbsp;Hongjun Yu,&nbsp;Manuel Hernandez,&nbsp;Yih-Kuen Jan","doi":"10.1002/jbio.202400337","DOIUrl":"10.1002/jbio.202400337","url":null,"abstract":"<p>Research has not demonstrated whether multiple cups of negative pressure cupping therapy would induce interactions of hemodynamic responses between different areas. A multichannel near-infrared spectroscopy (NIRS) was used to assess oxyhemoglobin and deoxyhemoglobin oscillations in response to cupping therapy. Wavelet transform and wavelet phase (WPC) coherence were used to quantify NIRS signals. Three levels of negative pressure (−75, −225, and −300 mmHg) were applied to the gastrocnemius in 12 healthy adults. Oxyhemoglobin coherence between the two inside-cup areas was higher at −75 mmHg compared to −300 mmHg in both metabolic (WPC = 0.80 ± 0.11 vs. 0.73 ± 0.13) and neurogenic (WPC = 0.70 ± 0.11 vs. 0.60 ± 0.17) controls. Deoxyhemoglobin coherence was also higher at −75 mmHg compared to −300 mmHg in both metabolic (WPC = 0.78 ± 0.11 vs. 0.66 ± 0.14) and neurogenic (WPC = 0.67 ± 0.11 vs. 0.58 ± 0.13) controls. Our study provides first evidence on the interaction of hemodynamic responses between the two cups of cupping therapy using WPC analysis of NIRS signals.</p>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.202400337","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142607814","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}
引用次数: 0
High-Efficiency Targeted Gene Transfection of Cells Using Temporal and Spatial Shaping Femtosecond Laser Irradiation 利用时间和空间塑形飞秒激光照射实现高效的细胞靶向基因转染。
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2024-11-06 DOI: 10.1002/jbio.202400409
Baoshan Guo, Ziyan Song
{"title":"High-Efficiency Targeted Gene Transfection of Cells Using Temporal and Spatial Shaping Femtosecond Laser Irradiation","authors":"Baoshan Guo,&nbsp;Ziyan Song","doi":"10.1002/jbio.202400409","DOIUrl":"10.1002/jbio.202400409","url":null,"abstract":"<div>\u0000 \u0000 <p>Laser-irradiation-assisted cell gene transfection is sterile and nontoxic, but the low transfection efficiency cannot meet the application requirements. To improve the efficiency, a temporal and spatial shaping method of a femtosecond laser is proposed. Using the time shaping method, we can segment the pulse into subpulses of varying energies and with a defined delay, thereby influencing the interaction between electrons and photons, ultimately enhancing transfection efficiency. The transfection efficiency is further improved by spatially shaping the laser pulse to extend the focusing beam's working distance and reduce the cell's sensitivity to the focal position. Through the characterization of the viability and transfection efficiency of HEK-293T cells, the method achieved efficient and active transfection, with a maximum transfection efficiency of 45.1% and a cell survival rate of 93.6%. This method provides key technical support for femtosecond laser transfection and promotes its further application in clinical practice.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142592049","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}
引用次数: 0
An In Vitro Study of 355-nm Laser Ablation of Atherosclerotic Lesions Model 355纳米激光消融动脉粥样硬化病变模型的体外研究
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2024-10-29 DOI: 10.1002/jbio.202400329
Fangying Wei, Jiajun He, Shiyong Zhao, Peng Lei, Qingjie Zhang, Guangxi Li, Xiaopeng Li, Xin Ding, Jianquan Yao
{"title":"An In Vitro Study of 355-nm Laser Ablation of Atherosclerotic Lesions Model","authors":"Fangying Wei,&nbsp;Jiajun He,&nbsp;Shiyong Zhao,&nbsp;Peng Lei,&nbsp;Qingjie Zhang,&nbsp;Guangxi Li,&nbsp;Xiaopeng Li,&nbsp;Xin Ding,&nbsp;Jianquan Yao","doi":"10.1002/jbio.202400329","DOIUrl":"10.1002/jbio.202400329","url":null,"abstract":"<div>\u0000 \u0000 <p>A study of 355 nm laser with high pulse energy across various types of atherosclerotic lesion models is presented. The 355 nm laser pulses (10 ns) are delivered via a single fiber (600 μm diameter), and the ablation of calcified tissue, lipid tissue, and thrombus-like tissue are studied under varied laser fluence (40–70 mJ/mm<sup>2</sup>) and repetition rate (5–30 Hz). The contact and noncontact ablation processes of chicken tibia samples (calcified tissue) are compared at 60 mJ/mm<sup>2</sup> and 30 Hz, and the size of ablation particles is in the range of 0.1–1 μm. At the same repetition rate, the advancement rate of tricalcium phosphate samples reaches 150 μm/s at 70 mJ/mm<sup>2</sup>. Calcified and lipid models demonstrate predictable increases in ablation with higher laser fluence and repetition rate. The fresh porcine blood clot samples exhibit high-quality ablation with good channel effect at 50 mJ/mm<sup>2</sup> and 30 Hz.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142549828","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}
引用次数: 0
Deep Learning With Optical Coherence Tomography for Melanoma Identification and Risk Prediction 深度学习与光学相干断层扫描用于黑色素瘤识别和风险预测。
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2024-10-27 DOI: 10.1002/jbio.202400277
Pei-Yu Lai, Tai-Yu Shih, Yu-Huan Chang, Chung-Hsing Chang, Wen-Chuan Kuo
{"title":"Deep Learning With Optical Coherence Tomography for Melanoma Identification and Risk Prediction","authors":"Pei-Yu Lai,&nbsp;Tai-Yu Shih,&nbsp;Yu-Huan Chang,&nbsp;Chung-Hsing Chang,&nbsp;Wen-Chuan Kuo","doi":"10.1002/jbio.202400277","DOIUrl":"10.1002/jbio.202400277","url":null,"abstract":"<p>Malignant melanoma is the most severe skin cancer with a rising incidence rate. Several noninvasive image techniques and computer-aided diagnosis systems have been developed to help find melanoma in its early stages. However, most previous research utilized dermoscopic images to build a diagnosis model, and only a few used prospective datasets. This study develops and evaluates a convolutional neural network (CNN) for melanoma identification and risk prediction using optical coherence tomography (OCT) imaging of mice skin. Longitudinal tests are performed on four animal models: melanoma mice, dysplastic nevus mice, and their respective controls. The CNN classifies melanoma and healthy tissues with high sensitivity (0.99) and specificity (0.98) and also assigns a risk score to each image based on the probability of melanoma presence, which may facilitate early diagnosis and management of melanoma in clinical settings.</p>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.202400277","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142515339","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}
引用次数: 0
Hybrid Raman and Partial Wave Spectroscopy Microscope for the Characterization of Molecular and Structural Alterations in Tissue 用于表征组织中分子和结构变化的混合拉曼和部分波谱显微镜。
IF 2 3区 物理与天体物理
Journal of Biophotonics Pub Date : 2024-10-27 DOI: 10.1002/jbio.202400330
Elena Kriukova, Mikhail Mazurenka, Sabrina Marcazzan, Sarah Glasl, Michael Quante, Dieter Saur, Markus Tschurtschenthaler, Gerwin J. Puppels, Dimitris Gorpas, Vasilis Ntziachristos
{"title":"Hybrid Raman and Partial Wave Spectroscopy Microscope for the Characterization of Molecular and Structural Alterations in Tissue","authors":"Elena Kriukova,&nbsp;Mikhail Mazurenka,&nbsp;Sabrina Marcazzan,&nbsp;Sarah Glasl,&nbsp;Michael Quante,&nbsp;Dieter Saur,&nbsp;Markus Tschurtschenthaler,&nbsp;Gerwin J. Puppels,&nbsp;Dimitris Gorpas,&nbsp;Vasilis Ntziachristos","doi":"10.1002/jbio.202400330","DOIUrl":"10.1002/jbio.202400330","url":null,"abstract":"<p>We present a hybrid Raman spectroscopy (RS) and partial wave spectroscopy (PWS) microscope for the characterization of molecular and structural tissue alterations. The PWS performance was assessed with surface roughness standards, while the Raman performance with a silicon crystal standard. We also validated the system on stomach and intestinal mouse tissues, two closely-related tissue types, and demonstrate that the addition of PWS information improves RS data classification for these tissue types from R<sup>2</sup> = 0.892 to R<sup>2</sup> = 0.964 (norm of residuals 0.863 and 0.497, respectively). Then, in a proof-of-concept experiment, we show that the hybrid system can detect changes in intestinal tissues harvested from a tumorigenic <i>Villin</i>-Cre, <i>Apc</i><sup>fl/wt</sup> mouse. We discuss how the hybrid modality offers new abilities to identify the relative roles of PWS morphological features and Raman molecular fingerprints, possibly allowing for their combination to enhance the study of carcinogenesis and early cancer diagnostics in the future.</p>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"17 12","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.202400330","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142515341","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}
引用次数: 0
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