Zebrafish larvae heartbeat detection from body deformation in low resolution and low frequency video.

Zebrafish (Danio rerio) is a powerful animal model used in many areas of genetics and disease research. Despite its advantages for cardiac research, the heartbeat pattern of zebrafish larvae under different stress conditions is not well documented quantitatively. Several effective automated heartbea...

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Publicado en:Medical & Biological Engineering & Computing Vol. 56; no. 12; pp. 2353 - 2366
Autores principales: Xing, Qi, Huynh, Victor, Parolari, Thales Guimaraes, Maurer-Morelli, Claudia Vianna, Peixoto, Nathalia, Wei, Qi
Formato: Journal Article
Publicado: Springer Nature Dec2018
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2018
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      pub: Springer Nature
      place: New York, New York
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        atl: Zebrafish larvae heartbeat detection from body deformation in low resolution and low frequency video.
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          Xing, Qi
          Huynh, Victor
          Parolari, Thales Guimaraes
          Maurer-Morelli, Claudia Vianna
          Peixoto, Nathalia
          Wei, Qi
        affil: Department of Computer Science, George Mason University, Fairfax, VA, USA
      sug:
        subj:
          Electrophysiology Methods
          Videorecording
          Fish Physiology
          Factor Analysis
          Electrophysiology Equipment and Supplies
          Larva Drug Effects
          Algorithms
          Larva Physiology
          Heart Rate Physiology
          Reproducibility of Results
          Azepines Pharmacodynamics
          Animals
          Electrocardiography
          Heart Rate Drug Effects
          Questionnaires
          Scales
      ab: Zebrafish (Danio rerio) is a powerful animal model used in many areas of genetics and disease research. Despite its advantages for cardiac research, the heartbeat pattern of zebrafish larvae under different stress conditions is not well documented quantitatively. Several effective automated heartbeat detection methods have been developed to reduce the workload for larva heartbeat analysis. However, most require complex experimental setups and necessitate direct observation of the larva heart. In this paper, we propose the Zebrafish Heart Rate Automatic Method (Z-HRAM), which detects and tracks the heartbeats of immobilized, ventrally positioned zebrafish larvae without direct larva heart observation. Z-HRAM tracks localized larva body deformation that is highly correlated with heart movement. Multiresolution dense optical flow-based motion tracking and principal component analysis are used to identify heartbeats. Here, we present results of Z-HRAM on estimating heart rate from video recordings of seizure-induced larvae, which were of low resolution (1024 × 760) and low frame rate (3 to 4 fps). Heartbeats detected from Z-HRAM were shown to correlate reliably with those determined through corresponding electrocardiogram and manual video inspection. We conclude that Z-HRAM is a robust, computationally efficient, and easily applicable tool for studying larva cardiac function in general laboratory conditions. Graphical abstract Flowchart of the automatic zebrafish heartbeat detection.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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