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通过单图像相关性对复杂血管网络进行体内血流映射。

In vivo flow mapping in complex vessel networks by single image correlation.

作者信息

Sironi Laura, Bouzin Margaux, Inverso Donato, D'Alfonso Laura, Pozzi Paolo, Cotelli Franco, Guidotti Luca G, Iannacone Matteo, Collini Maddalena, Chirico Giuseppe

机构信息

Università degli Studi di Milano-Bicocca, Physics Department, Piazza della Scienza 3, I-20126, Milan, Italy.

1] Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, I-20132, Milan, Italy [2] Vita-Salute San Raffaele University, I-20132, Milan, Italy.

出版信息

Sci Rep. 2014 Dec 5;4:7341. doi: 10.1038/srep07341.

DOI:10.1038/srep07341
PMID:25475129
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4256590/
Abstract

We describe a novel method (FLICS, FLow Image Correlation Spectroscopy) to extract flow speeds in complex vessel networks from a single raster-scanned optical xy-image, acquired in vivo by confocal or two-photon excitation microscopy. Fluorescent flowing objects produce diagonal lines in the raster-scanned image superimposed to static morphological details. The flow velocity is obtained by computing the Cross Correlation Function (CCF) of the intensity fluctuations detected in pairs of columns of the image. The analytical expression of the CCF has been derived by applying scanning fluorescence correlation concepts to drifting optically resolved objects and the theoretical framework has been validated in systems of increasing complexity. The power of the technique is revealed by its application to the intricate murine hepatic microcirculatory system where blood flow speed has been mapped simultaneously in several capillaries from a single xy-image and followed in time at high spatial and temporal resolution.

摘要

我们描述了一种新方法（FLICS，流动图像相关光谱法），用于从通过共聚焦或双光子激发显微镜在体内获取的单个光栅扫描光学xy图像中提取复杂血管网络中的血流速度。荧光流动物体在光栅扫描图像中产生对角线，叠加在静态形态细节上。通过计算图像列对中检测到的强度波动的互相关函数（CCF）来获得流速。CCF的解析表达式是通过将扫描荧光相关概念应用于漂移的光学分辨物体而推导出来的，并且该理论框架已在复杂度不断增加的系统中得到验证。该技术的强大之处体现在其应用于复杂的小鼠肝脏微循环系统，在该系统中，从单个xy图像中同时绘制了多个毛细血管中的血流速度，并以高空间和时间分辨率进行了实时跟踪。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f764/4256590/a0fc9dc215e7/srep07341-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f764/4256590/8b281e4acd51/srep07341-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f764/4256590/ddb50ed9c1e6/srep07341-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f764/4256590/6420ba140f50/srep07341-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f764/4256590/a0fc9dc215e7/srep07341-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f764/4256590/8b281e4acd51/srep07341-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f764/4256590/ddb50ed9c1e6/srep07341-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f764/4256590/6420ba140f50/srep07341-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f764/4256590/a0fc9dc215e7/srep07341-f4.jpg

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Quantitative measurement of intracellular transport of nanocarriers by spatio-temporal image correlation spectroscopy.通过时空图像相关光谱法定量测量纳米载体的细胞内运输
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