Journal of biophotonics最新文献_第4页

Analysis of Hyperspectral Imaging Using CNN-GRU for Gastric Adenomatous Polyp and Adenocarcinoma Classification. CNN-GRU高光谱成像对胃腺瘤性息肉及腺癌分类的分析。

Journal of biophotonics Pub Date : 2025-04-27 DOI: 10.1002/jbio.70047

Xuzhe Wang, Xiaoqing Yue, Tianyi Hang, Shuai Liu

引用次数: 0

Fast Registration Method for Large-Field-Of-View Nailfold Video Images Based on Improved Projection Analysis. 基于改进投影分析的大视场折甲视频图像快速配准方法。

Journal of biophotonics Pub Date : 2025-04-27 DOI: 10.1002/jbio.70052

Peiqing Guo, Hao Yin, Yanxiong Wu, Bin Zhou, Jiaxiong Luo, Qianyao Ye, Shou Feng, Qirui Sun, Hongjun Zhou, Fanxin Zeng

{"title":"Fast Registration Method for Large-Field-Of-View Nailfold Video Images Based on Improved Projection Analysis.","authors":"Peiqing Guo, Hao Yin, Yanxiong Wu, Bin Zhou, Jiaxiong Luo, Qianyao Ye, Shou Feng, Qirui Sun, Hongjun Zhou, Fanxin Zeng","doi":"10.1002/jbio.70052","DOIUrl":"https://doi.org/10.1002/jbio.70052","url":null,"abstract":"In nailfold video recordings, the micro-shaking of the hand is amplified and interferes with physician observations and parameter measurement. We developed a fast and accurate registration method for large-field-of-view nailfold video images. Nailfold videos are first represented in the YCrCb color space, with the Cb spatial component replacing the original grayscale image to reduce sensitivity to illumination. The projection variance of each row/column is employed to improve registration accuracy and processing speed. The method was compared with Origin GrayDrop, feature point matching, unsupervised learning, and Adobe Premiere Pro in terms of the peak signal-to-noise ratio, structural similarity index, and mean squared error. The peak signal-to-noise ratio and structural similarity index are enhanced, and the mean squared error is reduced compared to the original projection method. Moreover, the proposed method is faster than the comparison methods and provides the best combination of registration accuracy and fast processing for nailfold video image registration.","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":" ","pages":"e70052"},"PeriodicalIF":0.0,"publicationDate":"2025-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144032785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development of an Adjustable Arm-Type Swept-Source Optical Coherence Tomography System for Pediatric Patients With Congenital Cataracts. 用于儿童先天性白内障患者的可调臂型扫描源光学相干断层扫描系统的研制。

Journal of biophotonics Pub Date : 2025-04-24 DOI: 10.1002/jbio.70039

Wuge Shama, Sisi Chen, Wanyu Su, Yinglong Lan, Shilei Wang, Peifeng Zhang, Yue Jin, Zhangliang Li, Yun-E Zhao, Fan Lu, Meixiao Shen

{"title":"Development of an Adjustable Arm-Type Swept-Source Optical Coherence Tomography System for Pediatric Patients With Congenital Cataracts.","authors":"Wuge Shama, Sisi Chen, Wanyu Su, Yinglong Lan, Shilei Wang, Peifeng Zhang, Yue Jin, Zhangliang Li, Yun-E Zhao, Fan Lu, Meixiao Shen","doi":"10.1002/jbio.70039","DOIUrl":"https://doi.org/10.1002/jbio.70039","url":null,"abstract":"We developed a stable, high-penetration arm-type swept-source optical coherence tomography (SS-OCT) system for visualizing retinal and choroidal structures in pediatric patients with congenital cataracts. The system features a compact OCT probe with an integrated iris camera and fixation target for easy alignment, mounted on a five-degree-of-freedom adjustable arm to reduce motion artifacts and operator fatigue. Feasibility was demonstrated through supine retinal imaging of healthy adults, congenital cataract children, and infants, achieving success rates of 100%, 97%, and 95%, respectively. The system captured abnormal retinal features (e.g., absent foveal structure) in congenital cataract patients, highlighting its clinical value for monitoring retinal development. High-speed (200 kHz) imaging and high-resolution (4.1 μm) further support its dual role in clinical diagnosis and scientific research, such as retinal development studies and visual prognosis modeling. This system demonstrates significant potential for routine use in clinical practice and research, offering a reliable tool for pediatric ophthalmic imaging.","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":" ","pages":"e70039"},"PeriodicalIF":0.0,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144035921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive Run-Length Encoded DCT: A High-Fidelity Compression Algorithm for Real-Time Photoacoustic Microscopy Imaging in LabVIEW. 自适应运行长度编码DCT：一种用于实时光声显微镜成像的高保真压缩算法。

Journal of biophotonics Pub Date : 2025-04-23 DOI: 10.1002/jbio.70043

Mohsin Zafar, Kamran Avanaki

{"title":"Adaptive Run-Length Encoded DCT: A High-Fidelity Compression Algorithm for Real-Time Photoacoustic Microscopy Imaging in LabVIEW.","authors":"Mohsin Zafar, Kamran Avanaki","doi":"10.1002/jbio.70043","DOIUrl":"https://doi.org/10.1002/jbio.70043","url":null,"abstract":"Continuous photoacoustic microscopy (PAM) imaging generates large volumes of data, resulting in significant storage demands. Here, we propose a high-fidelity real-time compression algorithm for PAM data in LabVIEW by combining Discrete Cosine Transform (DCT) with adaptive thresholding and Run Length Encoding (RLE), which we term Adaptive Run Length Encoded DCT (AR-DCT) compression. This algorithm reduces data storage requirements while preserving all the details of the images. AR-DCT ensures real-time compression, achieving superior compression ratios (CRs) compared to traditional DCT compression. We evaluated the performance of AR-DCT using in vivo mouse brain imaging data, demonstrating a CR of ~50, with a structural similarity index of 0.980 and minimal degradation in signal quality (percentage-root-mean-square-difference of 1.345%). The results show that AR-DCT outperforms traditional DCT, offering higher compression efficiency without significantly sacrificing image quality. These findings suggest that AR-DCT provides an effective solution for applications requiring continuous experiments, such as cerebral hemodynamics studies.","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":" ","pages":"e70043"},"PeriodicalIF":0.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144039133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-Dimensional Assessment and Analysis of Thermal Damage in Skin Tissue by Femtosecond Laser Welding. 飞秒激光焊接皮肤组织热损伤的多维评估与分析。

Journal of biophotonics Pub Date : 2025-04-23 DOI: 10.1002/jbio.70044

Jun Huang, Mengshi Jia, Jincheng Li, Mintao Yan, Yanyu Li, Kehong Wang

引用次数: 0

Automated FRET Two-Hybrid Analysis. 自动FRET双混合分析。

Journal of biophotonics Pub Date : 2025-04-23 DOI: 10.1002/jbio.70033

Zhiqiang Wei, Yanling Xu, Jingzhen Wang, Beini Sun, Qialing Huang, Zhengfei Zhuang, Tongsheng Chen, Min Hu

{"title":"Automated FRET Two-Hybrid Analysis.","authors":"Zhiqiang Wei, Yanling Xu, Jingzhen Wang, Beini Sun, Qialing Huang, Zhengfei Zhuang, Tongsheng Chen, Min Hu","doi":"10.1002/jbio.70033","DOIUrl":"https://doi.org/10.1002/jbio.70033","url":null,"abstract":"The fluorescence resonance energy transfer (FRET) two-hybrid assay enables live-cell detection of biomolecular complexes but faces high-throughput screening (HTS) limitations due to laborious image analysis. We developed an automated platform using the Luminance-Uniformity-based Region of Interest Selection (LURS) algorithm, accelerating processing 12-fold (6 h <math> <semantics><mrow><mo>→</mo></mrow> <annotation>$$ to $$</annotation></semantics> </math> 30 min) for three-channel FRET imaging. Validation with FRET standards (C32V: <math> <semantics> <mrow><msubsup><mi>E</mi> <mi>D</mi> <mrow><mi>C</mi> <mn>32</mn> <mi>V</mi></mrow> </msubsup> <mo>=</mo> <mn>0.30</mn> <mo>±</mo> <mn>0.01</mn></mrow> <annotation>$$ {E}_D^{mathrm{C}32mathrm{V}}=0.30pm 0.01 $$</annotation></semantics> </math> , <math> <semantics> <mrow><msup><mi>S</mi> <mrow><mi>C</mi> <mn>32</mn> <mi>V</mi></mrow> </msup> <mo>=</mo> <mn>1.06</mn> <mo>±</mo> <mn>0.14</mn></mrow> <annotation>$$ {S}^{mathrm{C}32mathrm{V}}=1.06pm 0.14 $$</annotation></semantics> </math> ; CVC: <math> <semantics> <mrow><msubsup><mi>E</mi> <mi>D</mi> <mi>CVC</mi></msubsup> <mo>=</mo> <mn>0.40</mn> <mo>±</mo> <mn>0.02</mn></mrow> <annotation>$$ {E}_D^{mathrm{CVC}}=0.40pm 0.02 $$</annotation></semantics> </math> , <math> <semantics> <mrow><msup><mi>S</mi> <mi>CVC</mi></msup> <mo>=</mo> <mn>1.90</mn> <mo>±</mo> <mn>0.11</mn></mrow> <annotation>$$ {S}^{mathrm{CVC}}=1.90pm 0.11 $$</annotation></semantics> </math> ) matched reference values. Applied to Bcl-xL/Bak interactions under A1331852 treatment, LURS revealed dose-dependent stoichiometry reduction ( <math> <semantics><mrow><mn>1.87</mn> <mo>→</mo> <mn>1.12</mn></mrow> <annotation>$$ 1.87to 1.12 $$</annotation></semantics> </math> ). The method achieved precise signal extraction while preserving native cellular conditions, overcoming throughput constraints in dynamic protein interaction studies.","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":" ","pages":"e70033"},"PeriodicalIF":0.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144039142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

High-Resolution Lensless Microscopy Imaging Based on Fluorescence Intermittency. 基于荧光间歇的高分辨率无透镜显微镜成像。

Journal of biophotonics Pub Date : 2025-04-21 DOI: 10.1002/jbio.70036

Zhiping Zeng, Xinyi Chen, Biqing Xu, Jin Qiu, Yantang Huang, Canhua Xu

{"title":"High-Resolution Lensless Microscopy Imaging Based on Fluorescence Intermittency.","authors":"Zhiping Zeng, Xinyi Chen, Biqing Xu, Jin Qiu, Yantang Huang, Canhua Xu","doi":"10.1002/jbio.70036","DOIUrl":"https://doi.org/10.1002/jbio.70036","url":null,"abstract":"Lensless imaging microscopy has gained extensive application with the merits of system compactness and cost efficiency; however, its spatial resolution is usually compromised compared to conventional lens-based microscopes. To further enhance the spatial resolution, we built a lensless imaging system integrating a phase mask and a CMOS image sensor, and employed fluorescence fluctuation super-resolution microscopy (FF-SRM) algorithms to fully exploit the fluorescence intermittency (FI) characteristics of fluorescent molecules for high-resolution lensless image reconstruction. The study demonstrates that lensless image sequences processed by the Wiener deconvolution method can effectively retain the original fluorescence intermittency information, allowing for high-resolution reconstruction using FF-SRM algorithms. Furthermore, by combining expansion microscopy (ExM) and leveraging multi-algorithm synergy, we obtained additional improvements in spatial resolution and image quality for lensless imaging, facilitating clear visualization of biological subcellular organelles. This scheme offers a new pathway to achieve high spatial resolution imaging with practical advantages in simplicity and affordability.","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":" ","pages":"e70036"},"PeriodicalIF":0.0,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144033141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

In Vivo Differentiation of Cutaneous Melanoma From Benign Nevi With Dual-Modal System of Optical Coherence Tomography and Raman Spectroscopy. 用光学相干断层扫描和拉曼光谱双峰系统在体内鉴别皮肤黑色素瘤和良性痣。

Journal of biophotonics Pub Date : 2025-04-21 DOI: 10.1002/jbio.70040

Di Wu, Anatoly Fedorov Kukk, Rüdiger Panzer, Steffen Emmert, Bernhard Roth

{"title":"In Vivo Differentiation of Cutaneous Melanoma From Benign Nevi With Dual-Modal System of Optical Coherence Tomography and Raman Spectroscopy.","authors":"Di Wu, Anatoly Fedorov Kukk, Rüdiger Panzer, Steffen Emmert, Bernhard Roth","doi":"10.1002/jbio.70040","DOIUrl":"https://doi.org/10.1002/jbio.70040","url":null,"abstract":"A multimodal method comprising optical imaging using OCT and molecular detection using Raman spectroscopy was developed to explore its capability for noninvasive differentiation between melanoma skin cancer and benign skin lesions. Key OCT parameters like the attenuation coefficient, R2, and RMSE, extracted through exponential fitting, were incorporated into machine learning, achieving 96.9% accuracy and an AUC-ROC of 0.99 in 10-fold cross-validation. Raman spectroscopy revealed differences in carotenoid, amide-I, and CH2-CH3 structures between melanoma and nevi, supporting the OCT findings. Autofluorescence background intensity variations further distinguished lesion types and enhanced lesion assessment. Future work will include the investigation of larger patient groups and the combination of both data sets in a combined algorithm. Also, the integration of both modalities and the developed method with photoacoustic tomography and high-frequency ultrasound appears beneficial toward achieving an optical biopsy of melanoma skin cancer and improving diagnostics.","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":" ","pages":"e70040"},"PeriodicalIF":0.0,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144046401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

FTIR Markers of Prostate Cancer Tissue and Their Correlation With Medical Parameters of Tumor Aggressiveness. 前列腺癌组织FTIR标志物及其与肿瘤侵袭性医学参数的相关性

Journal of biophotonics Pub Date : 2025-04-21 DOI: 10.1002/jbio.70046

Przemysław Mitura, Wiesław Paja, Bartosz Klebowski, Lech Wronecki, Michał Godzisz, Damian Sudoł, Krzysztof Bar, Joanna Depciuch

{"title":"FTIR Markers of Prostate Cancer Tissue and Their Correlation With Medical Parameters of Tumor Aggressiveness.","authors":"Przemysław Mitura, Wiesław Paja, Bartosz Klebowski, Lech Wronecki, Michał Godzisz, Damian Sudoł, Krzysztof Bar, Joanna Depciuch","doi":"10.1002/jbio.70046","DOIUrl":"https://doi.org/10.1002/jbio.70046","url":null,"abstract":"Fourier transform infrared spectroscopy (FTIR) was used to investigate chemical differences in prostate tissue caused by prostate cancer and to correlate these data with medical. In FTIR spectra of prostate tissues, a higher amount of peaks originating from phospholipids, amide, and lipid vibrations was detected in comparison with FTIR spectra of control prostate tissues. Principal Component Analysis (PCA) showed that it is possible to differentiate two types of tissues using FTIR range corresponding to (i) phospholipids and amides and (ii) lipids. Machine learning methods showed that values of area under the curve (AUC), accuracy, F1, precision, and recall were higher for the fingerprint range than for the second one. However, values of all these parameters in both analyzed ranges were higher than 0.95. Moreover, the proposed FTIR marker of prostate cancer (wavenumber at 1685 cm-1) correlated with bGleason, pGleason, and ISUP, which suggested that FTIR spectroscopy reflected the medical characterization of prostate cancer.","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":" ","pages":"e70046"},"PeriodicalIF":0.0,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144044587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Impact of Light Parameters and Tetracycline Concentration on Antimicrobial Photodynamic Inactivation Against Drug Resistant Escherichia coli. 光参数和四环素浓度对耐药大肠杆菌光动力失活的影响。

Journal of biophotonics Pub Date : 2025-04-21 DOI: 10.1002/jbio.70049

Shijie Huang, Xuran Zhang, Haokuan Qin, Muqing Liu

引用次数: 0