Adaptive Design of Fluorescence Imaging Systems for Custom Resolution, Fields of View, and Geometries
作者机构:Department of Biomedical EngineeringDuke UniversityDurhamNCUSA Department of Pharmacology and Cancer BiologyDuke University Medical CenterDurhamNCUSA
出 版 物:《Biomedical Engineering Frontiers》 (生物医学工程前沿(英文))
年 卷 期:2023年第4卷第1期
页 面:260-273页
核心收录:
学科分类:081704[工学-应用化学] 07[理学] 08[工学] 0817[工学-化学工程与技术] 070302[理学-分析化学] 0703[理学-化学]
基 金:This work was supported by generous funding from the National Institutes of Health grant(5R01EB028148-02)(N.R.) the Department of Defense National Defense Science and Engineering Graduate Fellowship Program(R.J.D.) the Doctoral Scholarship by Duke Global Health Institute(R.W.)
主 题:illumination Fluorescence image
摘 要:Objective and Impact Statement:We developed a generalized computational approach to design uniform,high-intensity excitation light for low-cost,quantitative fluorescence imaging of in vitro,ex vivo,and in vivo samples with a single ***:Fluorescence imaging is a ubiquitous tool for biomedical *** extensively modify existing systems for tissue imaging,increasing the time and effort needed for translational research and thick tissue *** modifications are applicationspecific,requiring new designs to scale across sample ***:We implemented a computational model to simulate light propagation from multiple *** a global optimization algorithm and a custom cost function,we determined the spatial positioning of optical fibers to generate 2 illumination *** results were implemented to image core needle biopsies,preclinical mammary tumors,or tumor-derived *** were stained with molecular probes and imaged with uniform and nonuniform ***:Simulation results were faithfully translated to benchtop *** demonstrated that uniform illumination increased the reliability of intraimage analysis compared to nonuniform illumination and was concordant with traditional histological *** computational approach was used to optimize the illumination geometry for the purposes of imaging 3 different fluorophores through a mammary window chamber *** specifically designed for intravital tumor imaging generated higher image contrast compared to the case in which illumination originally optimized for biopsy images was ***:We demonstrate the significance of using a computationally designed illumination for in vitro,ex vivo,and in vivo fluorescence *** illumination increased the reliability of intraimage analysis and enhanced the local contrast of biological *** approach is generalizable across light sources,biological appl