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内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:Fraunhofer Inst Mfg Engn & Automat Project Grp Automat Med & Biotechnol Theodor Kutzer Ufer 1-3 D-68167 Mannheim Germany Heidelberg Univ Dept Phys & Astron Neuenheimer Feld 226 D-69120 Heidelberg Germany Heidelberg Univ Med Fac Mannheim Theodor Kutzer Ufer 1-3 D-68167 Mannheim Germany
出 版 物:《OPTICS EXPRESS》 (光学快报)
年 卷 期:2017年第25卷第11期
页 面:12812-12829页
核心收录:
学科分类:070207[理学-光学] 07[理学] 08[工学] 0803[工学-光学工程] 0702[理学-物理学]
基 金:Fraunhofer-Gesellschaft German Ministry of Education and Research (BMBF) [031B0219]
主 题:Image processing Image processing algorithms Image quality Imaging systems Imaging techniques Spectroscopy
摘 要:Fluorescence imaging can reveal functional, anatomical or pathological features of high interest in medical interventions. We present a novel method to record and display in video rate multispectral color and fluorescence images over the visible and near infrared range. The fast acquisition in multiple channels is achieved through a combination of spectral and temporal multiplexing in a system with two standard color sensors. Accurate color reproduction and high fluorescence unmixing performance are experimentally demonstrated with a prototype system in a challenging imaging scenario. Through spectral simulation and optimization we show that the system is sensitive to all dyes emitting in the visible and near infrared region without changing filters and that the SNR of multiple unmixed components can be kept high if parameters are chosen well. We propose a sensitive per-pixel metric of unmixing quality in a single image based on noise propagation and present a method to visualize the high-dimensional data in a 2D graph, where up to three fluorescent components can be distinguished and segmented. (C) 2017 Optical Society of America