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Confocal laser speckle autocorrelation imaging of dynamic flow in microvasculature

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Figure 1

image: Blood flow velocity images obtained from chicken embryo No. 1 using LS-LSAI. (a) An averaged blood flow velocity map over the entire image stack. (b) An instantaneous blood flow image at the time point 0.48 s, when the flow velocity reached the maximum. (c) An instantaneous blood flow image at the time point 1.08 s, when the flow velocity reached the minimum. (d) A magnified view of the white dashed boxed region in (a). (e) Cross-sectional flow velocity profiles taken along the green line in d at various time points. f, the time courses of spatially averaged blood flow over the regions indicated by the blue and green squares in (a). view more 

Credit: OEA

In a new publication from Opto-Electronic Advances; DOI  10.29026/oea.2022.210045, researchers from the National University of Singapore, Singapore, discuss confocal laser speckle autocorrelation imaging of dynamic flow in microvasculature.

 

Quantitative flow measurement and visualization is vital for many scientific and engineering disciplines. The authors of this paper propose a label-free dynamic flow imaging method, confocal laser speckle imaging, for real-time and quantitative imaging of blood flow on the microscopic level. The imaging system developed shares many features of a confocal fluorescence microscope and is, therefore, able to obtain high-quality, detailed flow images from thick tissue samples. The method described here does not require fluorescence labeling or any other sample preparation procedure. Instead, the contrast mechanism is purely intrinsic and based on optical phase changes caused by flowing blood cells, which can be converted into random light intensity fluctuations. When a tissue sample is illuminated with a laser beam, the acquired images generally contain such random intensity fluctuations, the so-called laser speckles. The confocal laser speckle imaging setup is implemented on top of a line-scan confocal microscope, which forms an illumination line on the sample. A line camera is positioned to selectively capture the speckle signals coming from the illuminated line and effectively reject the out-of-focus light, which is a serious problem leading to reduced contrast and resolution in conventional laser speckle imaging techniques. By quickly scanning the illumination line across the sample surface, two-dimensional raw speckle images can be acquired at a speed of greater than 200 frames per second. Time series analysis of the speckle images is performed pixel by pixel, a strategy that preserves the spatial resolution in the processed images. Autocorrelation and speckle contrast calculation are both commonly used analysis methods that link the speckle derived parameters to the local blood flow velocity. However, the combination of confocal microscopy with autocorrelation based speckle analysis, which is called Line Scan Laser Speckle Autocorrelation Imaging (LSAI), proves to be superior. With small animal imaging experiments, the authors demonstrated that LSAI is able to quantify the local flow velocity at individual pixels, which are significantly smaller than the typical diameter of capillaries. Moreover, LSAI is fast enough to capture video-rate flow velocity changes at the same microscopic level. In short, confocal laser speckle imaging brings a breakthrough to in vivo flow imaging with its unprecedented performance.

 

An immediate and important application of confocal laser speckling imaging is to map and quantify dynamic blood flow in microvessels. Microvessels are the smallest blood vessels within organ tissues, including terminal arterioles, metarterioles, capillaries, and venules. Inside the microvessels network, the interaction between blood and tissue creates an environment for tissue cells to survive. The circulation of the blood in the microvasculature is so-called microcirculation, which is fundamental for analyzing and understanding the pathophysiology and pathogenesis of a wide range of human diseases. Experimental tools with adequately high temporal resolution and spatial resolution are highly desirable for in vivo visualization, and more importantly, quantitative measurement of the time-dependent blood flow maps in the microvasculature for further clinical and preclinical investigations. The novel confocal laser speckle imaging method developed by the authors of this article overcomes the technical limitations of existing techniques. It may become a standard imaging tool in microcirculation research as well as clinical diagnoses.

 

Article reference: Du E, Shen SH, Qiu AQ, Chen NG. Confocal laser speckle autocorrelation imaging of dynamic flow in microvasculature. Opto-Electron Adv 5, 210045 (2022) . doi: 10.29026/oea.2022.210045

 

Keywords: laser speckle / autocorrelation / confocal / line scan / flow

 

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The research group of Professor Nanguang Chen is part of the Biomedical Imaging Cluster in the Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore. Professor Chen’s group focuses on novel optical imaging and instrumentation solutions for visualizing structures and functions from the subcellular level to tissue and organ levels. Focal modulation microscopy (FMM) is one of the most important inventions from Professor Chen’s group. As a microscopy method, FMM is proved to outperform conventional confocal fluorescence microscopy in terms of background rejection and penetration depth. A three-fold improvement in the penetration depth in thick animal tissues was demonstrated with a prototype FMM system, whereas other system specifications such as imaging speed and signal to noise ratio have been improved continuously over the past decade. Professor Chen’s group also made significant contributions to the fields of optical coherence tomography (OCT) and diffuse optical spectroscopy and imaging. They are pioneers in ultra-high-resolution OCT and have developed elegant sample beam forming solutions to achieve a remarkably reduced beam size and therefore high spatial resolution, which make it possible to perform in vivo, label-free, three-dimensional imaging of cellular structures. They have invented a unique broad-spectrum time-resolved optical measurement method, which enables the faster acquisition of the time course of diffusive photons than conventional time-correlated single photon counting technique. This method has been integrated into low-cost, portable diffuse optical spectroscopy/imaging systems for a range of medical applications, including breast cancer early detection and mental disease diagnosis.

 

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Opto-Electronic Advances (OEA) is a high-impact, open access, peer reviewed monthly SCI journal with an impact factor of 9.682 (Journals Citation Reports for IF 2020). Since its launch in March 2018, OEA has been indexed in SCI, EI, DOAJ, Scopus, CA and ICI databases over the time and expanded its Editorial Board to 36 members from 17 countries and regions (average h-index 49).

The journal is published by The Institute of Optics and Electronics, Chinese Academy of Sciences, aiming at providing a platform for researchers, academicians, professionals, practitioners, and students to impart and share knowledge in the form of high quality empirical and theoretical research papers covering the topics of optics, photonics and optoelectronics.

 

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