Dimitriadis Nikolas, Grychtol Bartłomiej, Theuring Martin, Behr Tobias, Sippel Christian, Deliolanis Nikolaos C
Opt Express. 2017 May 29;25(11):12812-12829. doi: 10.1364/OE.25.012812.
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.
荧光成像能够揭示医学干预中备受关注的功能、解剖或病理特征。我们提出了一种新颖的方法,可在视频速率下记录并显示可见光和近红外范围内的多光谱彩色和荧光图像。通过在一个配备两个标准颜色传感器的系统中结合光谱复用和时间复用,实现了多通道的快速采集。在具有挑战性的成像场景中,利用一个原型系统通过实验证明了准确的色彩还原和高荧光解混性能。通过光谱模拟和优化,我们表明该系统对可见光和近红外区域发射的所有染料都敏感,无需更换滤光片,并且如果参数选择得当,多个解混成分的信噪比可以保持较高。我们基于噪声传播提出了一种在单幅图像中衡量解混质量的灵敏逐像素指标,并提出了一种在二维图中可视化高维数据的方法,在该图中最多可区分和分割三个荧光成分。