Literature DB >> 23377005

Semiautomatic and rapid quantification of heartbeat parameters in Drosophila using optical coherence tomography imaging.

Shou-Yuan Guo1, Fang-Tsu Liao, Ming-Tsan Su, Cheng-Yi Chang, Hong-Ren Su, Jyun-Cin Huang, Wen-Chuan Kuo.   

Abstract

We report a semiautomatic algorithm that is specialized for rapid analysis of beat-to-beat contraction-relaxation parameters of the heart in Drosophila. The presented algorithm adapts the general graph theoretical image segmentation algorithm and a histogram-based thresholding algorithm, which can measure many cardiac parameters, including heart rate, heart period, diastolic and systolic intervals, and end-diastolic and end-systolic areas. Additionally, dynamic cardiac functions, such as arrhythmia index and percent fractional shortening, can be automatically calculated for all the recorded heartbeats over significant periods of time.

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Year:  2013        PMID: 23377005     DOI: 10.1117/1.JBO.18.2.026004

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  1 in total

1.  Automated drosophila heartbeat counting based on image segmentation technique on optical coherence tomography.

Authors:  Chia-Yen Lee; Hao-Jen Wang; Jheng-Da Jhang; I-Chun Cho
Journal:  Sci Rep       Date:  2019-04-03       Impact factor: 4.379

  1 in total

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