Biomedical optics express最新文献_第7页

Biometry study of foveal isoplanatic patch variation for adaptive optics retinal imaging. 用于自适应光学视网膜成像的眼窝等平面斑块变化的生物测量学研究。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-09-04 eCollection Date: 2024-10-01 DOI: 10.1364/BOE.536645

Xiaojing Huang, Aubrey Hargrave, Julie Bentley, Alfredo Dubra

{"title":"Biometry study of foveal isoplanatic patch variation for adaptive optics retinal imaging.","authors":"Xiaojing Huang, Aubrey Hargrave, Julie Bentley, Alfredo Dubra","doi":"10.1364/BOE.536645","DOIUrl":"https://doi.org/10.1364/BOE.536645","url":null,"abstract":"The change in ocular wavefront aberrations with visual angle determines the isoplanatic patch, defined as the largest field of view over which diffraction-limited retinal imaging can be achieved. Here, we study how the isoplanatic patch at the foveal center varies across 32 schematic eyes, each individualized with optical biometry estimates of corneal and crystalline lens surface topography, assuming a homogeneous refractive index for the crystalline lens. The foveal isoplanatic patches were calculated using real ray tracing through 2, 4, 6 and 8 mm pupil diameters for wavelengths of 400-1200 nm, simulating five adaptive optics (AO) strategies. Three of these strategies, used in flood illumination, point-scanning, and line-scanning ophthalmoscopes, apply the same wavefront correction across the entire field of view, resulting in almost identical isoplanatic patches. Two time-division multiplexing (TDM) strategies are proposed to increase the isoplanatic patch of AO scanning ophthalmoscopes through field-varying wavefront correction. Results revealed substantial variation in isoplanatic patch size across eyes (40-500%), indicating that the field of view in AO ophthalmoscopes should be adjusted for each eye. The median isoplanatic patch size decreases with increasing pupil diameter, coarsely following a power law. No statistically significant correlations were found between isoplanatic patch size and axial length. The foveal isoplanatic patch increases linearly with wavelength, primarily due to its wavelength-dependent definition (wavefront root-mean-squared, RMS <λ/14), rather than aberration chromatism. Additionally, ray tracing reveals that in strongly ametropic eyes, induced aberrations can result in wavefront RMS errors as large as λ/3 for an 8-mm pupil, with implications for wavefront sensing, open-loop ophthalmic AO, spectacle prescription and refractive surgery.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"15 10","pages":"5674-5690"},"PeriodicalIF":2.9,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11482173/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142457245","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

Aberration compensation in Doppler holography of the human eye fundus by subaperture signal correlation. 通过子光圈信号相关性对人眼眼底多普勒全息成像中的像差进行补偿。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-09-04 eCollection Date: 2024-10-01 DOI: 10.1364/BOE.528568

Zofia Bratasz, Olivier Martinache, Julia Sverdlin, Damien Gatinel, Michael Atlan

引用次数: 0

Experimental characterization of an isoplanatic patch in mouse cortex using adaptive optics. 利用自适应光学技术对小鼠皮层中的等平面斑块进行实验鉴定。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-09-04 eCollection Date: 2024-10-01 DOI: 10.1364/BOE.527313

Jean Commère, Marie Glanc, Laurent Bourdieu, Raphaël Galicher, Éric Gendron, Gérard Rousset

引用次数: 0

ninjaNIRS: an open hardware solution for wearable whole-head high-density functional near-infrared spectroscopy. ninjaNIRS：用于可穿戴式全头高密度功能性近红外光谱分析的开放式硬件解决方案。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-09-04 eCollection Date: 2024-10-01 DOI: 10.1364/BOE.531501

W Joseph O'Brien, Laura Carlton, Johnathan Muhvich, Sreekanth Kura, Antonio Ortega-Martinez, Jay Dubb, Sudan Duwadi, Eric Hazen, Meryem A Yücel, Alexander von Lühmann, David A Boas, Bernhard B Zimmermann

{"title":"ninjaNIRS: an open hardware solution for wearable whole-head high-density functional near-infrared spectroscopy.","authors":"W Joseph O'Brien, Laura Carlton, Johnathan Muhvich, Sreekanth Kura, Antonio Ortega-Martinez, Jay Dubb, Sudan Duwadi, Eric Hazen, Meryem A Yücel, Alexander von Lühmann, David A Boas, Bernhard B Zimmermann","doi":"10.1364/BOE.531501","DOIUrl":"https://doi.org/10.1364/BOE.531501","url":null,"abstract":"Functional near-infrared spectroscopy (fNIRS) technology has been steadily advancing since the first measurements of human brain activity over 30 years ago. Initially, efforts were focused on increasing the channel count of fNIRS systems and then to moving from sparse to high density arrays of sources and detectors, enhancing spatial resolution through overlapping measurements. Over the last ten years, there have been rapid developments in wearable fNIRS systems that place the light sources and detectors on the head as opposed to the original approach of using fiber optics to deliver the light between the hardware and the head. The miniaturization of the electronics and increased computational power continues to permit impressive advances in wearable fNIRS systems. Here we detail our design for a wearable fNIRS system that covers the whole head of an adult human with a high-density array of 56 sources and up to 192 detectors. We provide characterization of the system showing that its performance is among the best in published systems. Additionally, we provide demonstrative images of brain activation during a ball squeezing task. We have released the hardware design to the public, with the hope that the community will build upon our foundational work and drive further advancements.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"15 10","pages":"5625-5644"},"PeriodicalIF":2.9,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11482177/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142457270","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

FLUID: a fluorescence-friendly lipid-compatible ultrafast clearing method. FLUID：一种荧光友好型脂质兼容超快清除方法。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-09-03 eCollection Date: 2024-10-01 DOI: 10.1364/BOE.533072

Zizheng Wang, Xiao Xiao, Ziwen Zhou, Yunyin Chen, Tianqi Xia, Xiangyi Sheng, Yiping Han, Wei Gong, Ke Si

引用次数: 0

Enhanced microvascular imaging through deep learning-driven OCTA reconstruction with squeeze-and-excitation block integration. 通过深度学习驱动的 OCTA 重建与挤压和激发块整合，增强微血管成像。

IF 2.9 2区医学

Biomedical optics express Pub Date : 2024-09-03 eCollection Date: 2024-10-01 DOI: 10.1364/BOE.525928

Mohammad Rashidi, Georgy Kalenkov, Daniel J Green, Robert A McLaughlin

引用次数: 0

Real-time data processing in colorimetry camera-based single-molecule localization microscopy via CPU-GPU-FPGA heterogeneous computation. 通过 CPU-GPU-FPGA 异构计算，在基于比色法相机的单分子定位显微镜中进行实时数据处理。

IF 3.4 2区医学

Biomedical optics express Pub Date : 2024-08-28 DOI: 10.1364/boe.534941

Jiaxun Lin,Kun Wang,Zhen-Li Huang

{"title":"Real-time data processing in colorimetry camera-based single-molecule localization microscopy via CPU-GPU-FPGA heterogeneous computation.","authors":"Jiaxun Lin,Kun Wang,Zhen-Li Huang","doi":"10.1364/boe.534941","DOIUrl":"https://doi.org/10.1364/boe.534941","url":null,"abstract":"Because conventional low-light cameras used in single-molecule localization microscopy (SMLM) do not have the ability to distinguish colors, it is often necessary to employ a dedicated optical system and/or a complicated image analysis procedure to realize multi-color SMLM. Recently, researchers explored the potential of a new kind of low-light camera called colorimetry camera as an alternative detector in multi-color SMLM, and achieved two-color SMLM under a simple optical system, with a comparable cross-talk to the best reported values. However, extracting images from all color channels is a necessary but lengthy process in colorimetry camera-based SMLM (called CC-STORM), because this process requires the sequential traversal of a massive number of pixels. By taking advantage of the parallelism and pipeline characteristics of FPGA, in this paper, we report an updated multi-color SMLM method called HCC-STORM, which integrated the data processing tasks in CC-STORM into a home-built CPU-GPU-FPGA heterogeneous computing platform. We show that, without scarifying the original performance of CC-STORM, the execution speed of HCC-STORM was increased by approximately three times. Actually, in HCC-STORM, the total data processing time for each raw image with 1024 × 1024 pixels was 26.9 ms. This improvement enabled real-time data processing for a field of view of 1024 × 1024 pixels and an exposure time of 30 ms (a typical exposure time in CC-STORM). Furthermore, to reduce the difficulty of deploying algorithms into the heterogeneous computing platform, we also report the necessary interfaces for four commonly used high-level programming languages, including C/C++, Python, Java, and Matlab. This study not only pushes forward the mature of CC-STORM, but also presents a powerful computing platform for tasks with heavy computation load.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"64 1","pages":"5560-5573"},"PeriodicalIF":3.4,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142268104","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

High-resolution in vivo 4D-OCT fish-eye imaging using 3D-UNet with multi-level residue decoder. 使用带有多级残差解码器的 3D-UNet 进行高分辨率活体 4D-OCT 鱼眼成像。

IF 3.4 2区医学

Biomedical optics express Pub Date : 2024-08-28 DOI: 10.1364/boe.532258

Ruizhi Zuo,Shuwen Wei,Yaning Wang,Kristina Irsch,Jin U Kang

{"title":"High-resolution in vivo 4D-OCT fish-eye imaging using 3D-UNet with multi-level residue decoder.","authors":"Ruizhi Zuo,Shuwen Wei,Yaning Wang,Kristina Irsch,Jin U Kang","doi":"10.1364/boe.532258","DOIUrl":"https://doi.org/10.1364/boe.532258","url":null,"abstract":"Optical coherence tomography (OCT) allows high-resolution volumetric imaging of biological tissues in vivo. However, 3D-image acquisition often suffers from motion artifacts due to slow frame rates and involuntary and physiological movements of living tissue. To solve these issues, we implement a real-time 4D-OCT system capable of reconstructing near-distortion-free volumetric images based on a deep learning-based reconstruction algorithm. The system initially collects undersampled volumetric images at a high speed and then upsamples the images in real-time by a convolutional neural network (CNN) that generates high-frequency features using a deep learning algorithm. We compare and analyze both dual-2D- and 3D-UNet-based networks for the OCT 3D high-resolution image reconstruction. We refine the network architecture by incorporating multi-level information to accelerate convergence and improve accuracy. The network is optimized by utilizing the 16-bit floating-point precision for network parameters to conserve GPU memory and enhance efficiency. The result shows that the refined and optimized 3D-network is capable of retrieving the tissue structure more precisely and enable real-time 4D-OCT imaging at a rate greater than 10 Hz with a root mean square error (RMSE) of ∼0.03.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"10 1","pages":"5533-5546"},"PeriodicalIF":3.4,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142247589","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

Automated analysis of scattering-based light sheet microscopy images of anal squamous intraepithelial lesions. 基于散射的肛门鳞状上皮内病变光片显微镜图像的自动分析。

IF 3.4 2区医学

Biomedical optics express Pub Date : 2024-08-28 DOI: 10.1364/boe.531700

Yongjun Kim,Jingwei Zhao,Brooke Liang,Momoka Sugimura,Kenneth Marcelino,Rafael Romero,Ameer Nessaee,Carmella Ocaya,Koeun Lim,Denise Roe,Michelle J Khan,Eric J Yang,Dongkyun Kang

{"title":"Automated analysis of scattering-based light sheet microscopy images of anal squamous intraepithelial lesions.","authors":"Yongjun Kim,Jingwei Zhao,Brooke Liang,Momoka Sugimura,Kenneth Marcelino,Rafael Romero,Ameer Nessaee,Carmella Ocaya,Koeun Lim,Denise Roe,Michelle J Khan,Eric J Yang,Dongkyun Kang","doi":"10.1364/boe.531700","DOIUrl":"https://doi.org/10.1364/boe.531700","url":null,"abstract":"We developed an algorithm for automatically analyzing scattering-based light sheet microscopy (sLSM) images of anal squamous intraepithelial lesions. We developed a method for automatically segmenting sLSM images for nuclei and calculating seven features: nuclear intensity, intensity slope as a function of depth, nuclear-to-nuclear distance, nuclear-to-cytoplasm ratio, cell density, nuclear area, and proportion of pixels corresponding to nuclei. 187 images from 80 anal biopsies were used for feature analysis and classifier development. The automated nuclear segmentation method provided reliable performance with the precision of 0.97 and recall of 0.91 when compared with the manual segmentation. Among the seven features, six showed statistically significant differences between high-grade squamous intraepithelial lesion (HSIL) and non-HSIL (non-dysplastic or low-grade squamous intraepithelial lesion, LSIL). A classifier using linear support vector machine (SVM) achieved promising performance in diagnosing HSIL versus non-HSIL: sensitivity of 90%, specificity of 70%, and area under the curve (AUC) of 0.89 for per-image diagnosis, and sensitivity of 90%, specificity of 80%, and AUC of 0.92 for per-biopsy diagnosis.","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"14 1","pages":"5547-5559"},"PeriodicalIF":3.4,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142247591","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

Modified Beer-Lambert algorithm to measure pulsatile blood flow, critical closing pressure, and intracranial hypertension. 用于测量搏动性血流、临界关闭压和颅内高压的改良比尔-朗伯算法。

IF 3.4 2区医学

Biomedical optics express Pub Date : 2024-08-27 DOI: 10.1364/boe.529150

Wesley B Baker,Rodrigo M Forti,Pascal Heye,Kristina Heye,Jennifer M Lynch,Arjun G Yodh,Daniel J Licht,Brian R White,Misun Hwang,Tiffany S Ko,Todd J Kilbaugh

引用次数: 0