Vinegoni Claudio, Feruglio Paolo Fumene, Weissleder Ralph
Center for System Biology, Massachusetts General Hospital and Harvard Medical School, Richard B. Simches Research Center, 185 Cambridge Street, Boston 02114, USA.
Center for System Biology, Massachusetts General Hospital and Harvard Medical School, Richard B. Simches Research Center, 185 Cambridge Street, Boston 02114, USA and with the Department of Neurological and Movement Sciences, University of Verona, Strada Le Grazie 8, 37134 Verona, Italy.
IEEE J Sel Top Quantum Electron. 2019 Jan-Feb;25(1). doi: 10.1109/JSTQE.2018.2881608. Epub 2018 Nov 19.
Fluorescence acquisition and image display over a high dynamic range is highly desirable. However, the limited dynamic range of current photodetectors and imaging CCDs impose a limit on the fluorescence intensities that can be simultaneously captured during a single image acquisition. This is particularly troublesome when imaging biological samples, where protein expression fluctuates considerably. As a result, biological images will often contain regions with signal that is either saturated or hidden within background noise, causing information loss. In this manuscript we summarize recent work from our group and others, to extended conventional to high dynamic range fluorescence imaging. These strategies have many biological applications, such as mapping of neural connections, vascular imaging, bio-distribution studies or pharmacologic imaging at the single cell and organ level.
在高动态范围内进行荧光采集和图像显示是非常理想的。然而,当前光电探测器和成像电荷耦合器件(CCD)的动态范围有限,这对单次图像采集过程中能够同时捕获的荧光强度施加了限制。在对蛋白质表达波动很大的生物样本进行成像时,这一问题尤为棘手。结果,生物图像常常会包含信号饱和或隐藏于背景噪声中的区域,从而导致信息丢失。在本论文中,我们总结了我们团队及其他团队最近的工作,以将传统荧光成像扩展至高动态范围荧光成像。这些策略具有许多生物学应用,比如在单细胞和器官水平上进行神经连接图谱绘制、血管成像、生物分布研究或药理成像。