Multi-orientation non-confocal retinal imaging in an AOSLO using a Dove prism [0.03%]
采用Dove棱镜的AOSLO多方位非共焦视网膜成像
Ruth E Woehlke,Robert F Cooper
Ruth E Woehlke
Adaptive optics scanning light ophthalmoscopes configured in a two-detector split-detection arrangement enable resolution of translucent retinal structures, producing phase contrast-based images of the retina's topography. Standard two-dete...
Two-photon imaging microscopy of non-stained human epiretinal membranes [0.03%]
双光子成像显微镜观察未经染色的人类视网膜前膜
Juan M Bueno,Xavier Valldeperas
Juan M Bueno
Epiretinal membranes (ERMs) are composed of cellular and extracellular matrix elements. They are divided into idiopathic (iERM), of unknown origin, and non-idiopathic (non-iERM), usually associated with proliferative retinopathies and retin...
Levin Stolz,Alwin Kienle,Sascha Hein et al.
Levin Stolz et al.
Understanding light propagation in human dentin is critical for dental diagnostics, including optical coherence tomography (OCT) and early caries detection. Dentin's heterogeneous microstructure-a dense network of cylindrical tubules ( W...
Anatomy-guided weakly supervised learning framework for corneal nerve image denoising and enhancement [0.03%]
基于解剖结构的弱监督学习框架用于角膜神经图像去噪和增强
Qincheng Qiao,Xinguo Hou
Qincheng Qiao
Corneal confocal microscopy (CCM) enables non-invasive imaging of the sub-basal nerve plexus for early diagnosis of diabetic neuropathy, but its utility is hindered by inherent noise and low contrast in raw images. We present NerveBoost, a ...
Label-free candidate dOCM biomarkers associated with blastocyst quality using total cell count as a proxy [0.03%]
基于总细胞数的ICM无标记候选标志物与囊胚质量的关系研究
Yunqin Zhao,Saanjali Majmundar,Jacob Stoebner et al.
Yunqin Zhao et al.
Blastocyst grading during in vitro fertilization relies on subjective morphology, motivating quantitative, label-free biomarkers measurable in blastocysts. We apply dynamic optical coherence microscopy (dOCM) to murine blastocysts and quant...
Dynamic multimode fiber specklegram sensor with automated training data generation for bed-exit prediction [0.03%]
用于预测离床事件的动态多模光纤斑点图传感器及其自动化训练数据生成方法
Md Nazmul Islam Sarkar,Linh Viet Nguyen,Adam D Kilpatrick et al.
Md Nazmul Islam Sarkar et al.
Real-time prediction of bed-exit events represents a critical capability for preventing falls and ensuring patient safety in hospital and aged care settings. Existing bed-exit detection systems operate as reactive alarms rather than predict...
Luminescence lifetime imaging integrated into selective plane illumination microscopy for oxygen imaging in 3D cell cultures [0.03%]
用于3D细胞培养中氧气成像的寿命发光与选择性平面成像技术相结合的技术
Hannu Välimäki,Birhanu Belay,Sonja Kuusinen et al.
Hannu Välimäki et al.
There is a growing need for 3D imaging that records not only cellular structures but also key chemical parameters, such as local oxygen tension or pH within 3D cell cultures. To meet this need, we have designed and developed a 3D luminescen...
Chromatic differential confocal matrix-based 3D topography and hyperspectral imaging with deep learning for osteoarthritis grading [0.03%]
基于深度学习的彩色差分共焦矩阵的三维形貌和高光谱成像在骨关节炎分级中的应用
Xiaer Zou,Jiajing Ye,Dawei Gong et al.
Xiaer Zou et al.
Accurate assessment of knee osteoarthritis (KOA) is limited by the current arthroscopy's reliance on subjective visual inspection. We propose a 3D spatio-spectral automatic grading framework combining deep learning with chromatic differenti...
Advances in Technology and Applications of Optical Sensing and Imaging for Biomedicine: introduction [0.03%]
生物医学光学传感与成像技术及应用进展：前言
Wu Yuan,Guanghan Meng,Timothy M Baran
Wu Yuan
This feature issue of Biomedical Optics Express presents 13 original research articles that highlight recent innovations and current directions in optical sensing and imaging for biomedical research and translation. The contributions span s...
Retinal layer segmentation in OCT images with a 2.5D cross-slice feature fusion module for glaucoma assessment [0.03%]
具有2.5D跨切片特征融合模块的OCT图像视网膜层分割算法用于青光眼评估
Hyunwoo Kim,Heesuk Kim,Chaewon Lee et al.
Hyunwoo Kim et al.
For accurate glaucoma diagnosis and monitoring, reliable retinal layer segmentation in OCT images is essential. However, existing 2D segmentation methods often suffer from slice-to-slice inconsistencies due to the lack of contextual informa...