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

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

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.

Original languageEnglish
Article number026004
JournalJournal of Biomedical Optics
Volume18
Issue number2
DOIs
StatePublished - Feb 2013

Keywords

  • Cardiac function
  • Drosophila
  • Optical coherence tomography
  • Random walker algorithm

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