ICFO - Institut de Ciencies Fotoniques, Barcelona Institute of Science and Technology, 08860 Castelldefels, Barcelona, Spain.
Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, 08003 Barcelona, Spain.
Proc Natl Acad Sci U S A. 2018 Dec 18;115(51):12991-12996. doi: 10.1073/pnas.1804725115. Epub 2018 Dec 3.
Recent advancements in single-molecule-based superresolution microscopy have made it possible to visualize biological structures with unprecedented spatial resolution. Determining the spatial coorganization of these structures within cells under physiological and pathological conditions is an important biological goal. This goal has been stymied by the current limitations of carrying out superresolution microscopy in multiple colors. Here, we develop an approach for simultaneous multicolor superresolution imaging which relies solely on fluorophore excitation, rather than fluorescence emission properties. By modulating the intensity of the excitation lasers at different frequencies, we show that the color channel can be determined based on the fluorophore's response to the modulated excitation. We use this frequency multiplexing to reduce the image acquisition time of multicolor superresolution DNA-PAINT while maintaining all its advantages: minimal color cross-talk, minimal photobleaching, maximal signal throughput, ability to maintain the fluorophore density per imaged color, and ability to use the full camera field of view. We refer to this imaging modality as "frequency multiplexed DNA-PAINT," or fm-DNA-PAINT for short. We also show that frequency multiplexing is fully compatible with STORM superresolution imaging, which we term fm-STORM. Unlike fm-DNA-PAINT, fm-STORM is prone to color cross-talk. To overcome this caveat, we further develop a machine-learning algorithm to correct for color cross-talk with more than 95% accuracy, without the need for prior information about the imaged structure.
近年来,基于单分子的超分辨率显微镜技术的进步使得人们能够以前所未有的空间分辨率可视化生物结构。在生理和病理条件下确定这些结构在细胞内的空间共组织是一个重要的生物学目标。这一目标受到当前在多种颜色下进行超分辨率显微镜操作的限制。在这里,我们开发了一种仅依赖于荧光团激发而不依赖于荧光发射特性的同时多色超分辨率成像方法。通过在不同频率下调制激发激光的强度,我们表明可以根据荧光团对调制激发的响应来确定颜色通道。我们使用这种频率复用技术来减少多色超分辨率 DNA-PAINT 的图像采集时间,同时保持其所有优点:最小的颜色串扰、最小的光漂白、最大的信号吞吐量、保持每个成像颜色的荧光团密度的能力以及使用整个相机视场的能力。我们将这种成像模式称为“频率复用 DNA-PAINT”,简称 fm-DNA-PAINT。我们还表明,频率复用与 STORM 超分辨率成像完全兼容,我们称之为 fm-STORM。与 fm-DNA-PAINT 不同,fm-STORM 容易发生颜色串扰。为了克服这一缺陷,我们进一步开发了一种机器学习算法,以超过 95%的准确率纠正颜色串扰,而无需有关成像结构的先验信息。