Biomedical optics express最新文献_第7页

Medium-adaptive compressive diffuse optical tomography. 介质自适应压缩漫反射光学断层成像。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-08-08 eCollection Date: 2024-09-01 DOI: 10.1364/BOE.529195

Miguel Mireles, Edward Xu, Rahul Ragunathan, Qianqian Fang

{"title":"Medium-adaptive compressive diffuse optical tomography.","authors":"Miguel Mireles, Edward Xu, Rahul Ragunathan, Qianqian Fang","doi":"10.1364/BOE.529195","DOIUrl":"https://doi.org/10.1364/BOE.529195","url":null,"abstract":"The low spatial resolution of diffuse optical tomography (DOT) has motivated the development of high-density DOT systems utilizing spatially-encoded illumination and detection strategies. Data compression methods, through the application of Fourier or Hadamard patterns, have been commonly explored for both illumination and detection but were largely limited to pre-determined patterns regardless of imaging targets. Here, we show that target-optimized detection patterns can yield significantly improved DOT reconstructions in both in silico and experimental tests. Applying reciprocity, we can further iteratively optimize both illumination and detection patterns and show that these simultaneously optimized source/detection patterns outperform predetermined patterns in simulation settings. In addition, we show media-adaptive measurement data compression methods enable wide-field DOT systems to recover highly complex inclusions inside optically-thick media with reduced background artifacts. Furthermore, using truncated optimized patterns shows an improvement of 2-4× in increased speed of data acquisition and reconstruction without significantly losing image quality. The proposed method can be readily extended for additional data dimensions such as spectrum and time.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11407237/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142280113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Microscope Integrated MHz Optical Coherence Tomography System for Neurosurgery: Development and Clinical In-Vivo Imaging 用于神经外科的显微镜集成 MHz 光学相干断层扫描系统：开发与临床活体成像

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-08-08 DOI: 10.1364/boe.530976

W. Draxinger, Nicolas Detrez, P. Strenge, V. Danicke, Dirk Theisen-Kunde, Lion Schuetzeck, Sonja Spahr-Hess, P. Kuppler, Jessica Kren, W. Wieser, M. Bonsanto, Ralf Brinkmann, R. Huber

引用次数: 0

Line-field confocal optical coherence tomography based on tandem interferometry with a focus-tunable lens 基于可调焦透镜串联干涉测量法的线场共焦光学相干断层成像技术

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-08-08 DOI: 10.1364/boe.530717

Flora Latriglia, J. Ogien, Arnaud Dubois

引用次数: 0

Non-degenerate two-photon imaging of deep rodent cortex using indocyanine green in the water absorption window. 利用吲哚菁绿在水吸收窗口对啮齿动物深部皮层进行非退化双光子成像。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-08-06 eCollection Date: 2024-09-01 DOI: 10.1364/BOE.520977

Alankrit Tomar, Shaun A Engelmann, Aaron L Woods, Andrew K Dunn

引用次数: 0

Weakly supervised semantic segmentation of leukocyte images based on class activation maps. 基于类激活图的白细胞图像弱监督语义分割。

IF 3.4 2区医学

Biomedical optics express Pub Date : 2024-08-06 DOI: 10.1364/boe.525294

Rui Feng,Wei Chen,Jie Qi

{"title":"Weakly supervised semantic segmentation of leukocyte images based on class activation maps.","authors":"Rui Feng,Wei Chen,Jie Qi","doi":"10.1364/boe.525294","DOIUrl":"https://doi.org/10.1364/boe.525294","url":null,"abstract":"Leukocytes are an essential component of the human defense system, accurate segmentation of leukocyte images is a crucial step towards automating detection. Most existing methods for leukocyte images segmentation relied on fully supervised semantic segmentation (FSSS) with extensive pixel-level annotations, which are time-consuming and labor-intensive. To address this issue, this paper proposes a weakly supervised semantic segmentation (WSSS) approach for leukocyte images utilizing improved class activation maps (CAMs). Firstly, to alleviate ambiguous boundary problem between leukocytes and background, preprocessing technique is employed to enhance the image quality. Secondly, attention mechanism is added to refine the CAMs generated by improving the matching of local and global features. Random walks, dense conditional random fields and hole filling were leveraged to obtain final pseudo-segmentation labels. Finally, a fully supervised segmentation network is trained with pseudo-segmentation labels. The method is evaluated on BCCD and TMAMD datasets. Experimental results demonstrate that by employing the pseudo segmentation annotations generated through this method can be utilized to train UNet as close as possible to FSSS. This method effectively reduces manual annotation cost while achieving WSSS of leukocyte images.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142247644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

MFLUnet: Multi-scale Fusion Light-weight Unet for Medical Image Segmentation MFLUnet：用于医学图像分割的多尺度融合轻量级 Unet

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-07-16 DOI: 10.1364/boe.529505

Dianlei Cao, Rui Zhang, Yunfeng Zhang

引用次数: 0

Ultra-low-cost and high-fidelity NIR-II confocal laser scanning microscope with Bessel beam excitation and SiPM detection 采用贝塞尔光束激发和 SiPM 检测技术的超低成本、高保真 NIR-II 共聚焦激光扫描显微镜

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-07-15 DOI: 10.1364/boe.531266

Xinyu Wang, Tianyu Yan, Lin Wang, Nan Wang, Xiaoli Yang, Xiaodong Wang, Hu Cai, Zhen Yuan, xiaopeng ma, Xueli Chen

引用次数: 0

All-Fiber Passively Q-switched Tm-Doped Laser With Mode Field Area Mismatched Tm-Doped Saturable Absorber 全光纤无源 Q 开关掺锝激光器与模式场面积失配掺锝饱和吸收器