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...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 56; no. 12; pp. 2353 - 2366 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Dec2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=133056270&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 133056270 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Dec2018 vid: 56 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 133056270 133056270 NLM29967932 10.1007/s11517-018-1863-7 NLM29967932 133056270 ppf: 2353 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Zebrafish larvae heartbeat detection from body deformation in low resolution and low frequency video. aug: au: 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 refInfo: holdings: @attributes: islocal: N |
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