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Appl. Sci. 2017, 7(8), 858; doi:10.3390/app7080858

Image Analysis of Dynamic Brain Activity Based on Gray Distance Compensation

1
School of Information Science and Technology, Beijing University of Chemical Technology, 15 Beisanhuan East Road, Beijing 100029, China
2
Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
3
Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
4
Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
*
Author to whom correspondence should be addressed.
Received: 24 July 2017 / Revised: 8 August 2017 / Accepted: 15 August 2017 / Published: 19 August 2017
(This article belongs to the Section Optics and Lasers)
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Abstract

Assessing time-dependent changes in brain activity is of crucial importance in neuroscience. Here, we propose a novel image processing method to automatically identify active regions and assess time-dependent changes in fluorescence arising from genetically encoded indicators of activity. First, potential active regions and the corresponding active centers were extracted based on gray distance compensation. Then potential active regions were aligned through frames and, if meeting pre-determined intensity criteria, were accepted as active regions and the fluorescence changes were quantified. We validated this method with independent in vivo imaging datasets collected from transgenic mice that express the genetically encoded calcium indicator GCaMP3. Our studies indicate that the incorporation of this gray distance compensation-based algorithm substantially improves the accuracy and efficiency of detecting and quantifying cellular activity in the intact brain. View Full-Text
Keywords: gray distance transformation; automated cell tracing; functional brain imaging gray distance transformation; automated cell tracing; functional brain imaging
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MDPI and ACS Style

Wang, Y.; Gau, Y.-T.; Le, H.N.D.; Bergles, D.E.; Kang, J.U. Image Analysis of Dynamic Brain Activity Based on Gray Distance Compensation. Appl. Sci. 2017, 7, 858.

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