Literature DB >> 18260006

Automated method for tracking vast numbers of FITC-labeled RBCs in microvessels of rat brain in vivo using a high-speed confocal microscope system.

Minoru Tomita1, Takashi Osada, Istvan Schiszler, Yutaka Tomita, Miyuki Unekawa, Haruki Toriumi, Norio Tanahashi, Norihiro Suzuki.   

Abstract

High-speed camera investigation of rapidly moving red blood cells (RBCs) in the microvasculature has been limited by an inability to handle the vast volume of data. We have developed a novel method to analyze large numbers of RBC images captured by a high-resolution, high-speed camera fitted on a confocal fluorescence microscope, to determine the velocities of individual RBCs in capillaries in vivo. Fluorescein isothiocyanate (FITC)-labeled RBCs flowing in the microvasculature of the cerebral cortex of urethane-anesthetized Wistar rats were recorded through the skull window on video clips during specified periods at high frame rates (500 fps). Sequential frames of moving RBCs in the video clips for a specified period were analyzed offline with in-house software (KEIO-IS2). Images of RBCs acquired were numbered automatically in order of appearance and displayed in a two-dimensional (2-D) RBC tracking map. The velocities of individual RBCs were automatically computed based on the RBC displacement per frame multiplied by the frame rate (fps), and the results were displayed in a 2-D velocity map and a 2-D RBC number map. Single capillaries were identified by staining with FITC-dextran. The mean capillary velocity of RBCs was evaluated as 2.05 +/- 1.59 mm/second in video clips obtained at 500 fps. This method is considered to have wide potential applicability.

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Year:  2008        PMID: 18260006     DOI: 10.1080/10739680701567089

Source DB:  PubMed          Journal:  Microcirculation        ISSN: 1073-9688            Impact factor:   2.628


  4 in total

1.  Flux or speed? Examining speckle contrast imaging of vascular flows.

Authors:  S M Shams Kazmi; Ehssan Faraji; Mitchell A Davis; Yu-Yen Huang; Xiaojing J Zhang; Andrew K Dunn
Journal:  Biomed Opt Express       Date:  2015-06-18       Impact factor: 3.732

2.  Spatial frequency-based analysis of mean red blood cell speed in single microvessels: investigation of microvascular perfusion in rat cerebral cortex.

Authors:  Joonas Autio; Hiroshi Kawaguchi; Shigeyoshi Saito; Ichio Aoki; Takayuki Obata; Kazuto Masamoto; Iwao Kanno
Journal:  PLoS One       Date:  2011-08-24       Impact factor: 3.240

3.  Wavelet brain angiography suggests arteriovenous pulse wave phase locking.

Authors:  William E Butler
Journal:  PLoS One       Date:  2017-11-15       Impact factor: 3.240

4.  Double-pulse laser illumination method for measuring fast cerebral blood flow velocities in the deep brain using a fiber-bundle-based endomicroscopy system.

Authors:  Minkyung Kim; Jinki Hong; Hyun-Joon Shin
Journal:  Biomed Opt Express       Date:  2018-05-21       Impact factor: 3.732

  4 in total

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