Quantification of Cardiomyocyte Beating Frequency Using Fourier Transform Analysis
| Autor: | Tong Ye, Ann C. Foley, Andrew W. Hunter, Yang Li, Allison Reno |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
lcsh:Applied optics. Photonics
0301 basic medicine beating frequency embryoid body Computer science Sinoatrial node Fast Fourier transform lcsh:TA1501-1820 Frequency data Beat (acoustics) cardiomyocyte Atomic and Molecular Physics and Optics 03 medical and health sciences symbols.namesake 030104 developmental biology medicine.anatomical_structure Fourier transform cardiovascular system Beat rate medicine symbols Radiology Nuclear Medicine and imaging Instrumentation Biomedical engineering |
| Zdroj: | Photonics, Vol 5, Iss 4, p 39 (2018) |
| ISSN: | 2304-6732 |
| Popis: | Pacemaker cardiomyocytes of the sinoatrial node (SAN) beat more rapidly than cells of the working myocardium. Beating in SAN cells responds to β-adrenergic and cholinergic signaling by speeding up or slowing, respectively. Beat rate has traditionally been assessed using voltage or calcium sensitive dyes, however these may not reflect the true rate of beating because they sequester calcium. Finally, in vitro differentiated cardiomyocytes sometimes briefly pause during imaging giving inaccurate beat rates. We have developed a MATLAB automation to calculate cardiac beat rates directly from video clips based on changes in pixel density at the edges of beating areas. These data are normalized to minimize the effects of secondary movement and are converted to frequency data using a fast Fourier transform (FFT). We find that this gives accurate beat rates even when there are brief pauses in beating. This technique can be used to rapidly assess beating of cardiomyocytes in organoid culture. This technique could also be combined with field scanning techniques to automatically and accurately assess beating within a complex cardiac organoid. |
| Databáze: | OpenAIRE |
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