Open access tool and microfluidic devices for phenotypic quantification of heart function of intact fruit fly and zebrafish larvae.

Cardiac screening Fruit fly Heart monitoring Image analysis software Microfluidics Zebrafish

Journal

Computers in biology and medicine
ISSN: 1879-0534
Titre abrégé: Comput Biol Med
Pays: United States
ID NLM: 1250250

Informations de publication

Date de publication:
05 2021
Historique:
received: 13 12 2020
revised: 27 02 2021
accepted: 03 03 2021
pubmed: 29 3 2021
medline: 6 7 2021
entrez: 28 3 2021
Statut: ppublish

Résumé

In this paper, the heartbeat parameters of small model organisms, i.e. Drosophila melanogaster (fruit fly) and Danio rerio (zebrafish), were quantified in-vivo in intact larvae using microfluidics and a novel MATLAB-based software. Among different developmental stages of flies and zebrafish, the larval stage is privileged due to biological maturity, optical accessibility, and the myogenic nature of the heart. Conventional methods for parametric quantification of heart activities are complex and mostly done on dissected, irreversibly immobilized, or anesthetized larvae. Microfluidics has helped with reversible immobilization without the need for anesthesia, but heart monitoring is still done manually due to challenges associated with the movement of floating organs and cardiac interruptions. In our MATLAB software applied to videos recorded in microfluidic-based whole-organism assays, we have used image segmentation to automatically detect the heart and extract the heartbeat signal based on pixel intensity variations of the most contractile region of the heart tube. The smoothness priors approach (SPA) was applied to remove the undesired low-frequency noises caused by environmental light changes or heart movement. Heart rate and arrhythmicity were automatically measured from the detrended heartbeat signal while other parameters including end-diastolic and end-systolic diameters, shortening distance, shortening time, fractional shortening, and shortening velocity were quantified for the first time in intact larvae, using M-mode images under bright field microscopy. The software was able to detect more than 94% of the heartbeats and the cardiac arrests in intact Drosophila larvae. Our user-friendly software enables in-vivo quantification of D. melanogaster and D. rerio larval heart functions in microfluidic devices, with the potential to be applied to other biological models and used for automatic screening of drugs and alleles that affect their heart.

Identifiants

pubmed: 33774273
pii: S0010-4825(21)00108-6
doi: 10.1016/j.compbiomed.2021.104314
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

104314

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Alireza Zabihihesari (A)

Department of Mechanical Engineering, York University, Toronto, ON, Canada.

Arezoo Khalili (A)

Department of Mechanical Engineering, York University, Toronto, ON, Canada.

Arthur J Hilliker (AJ)

Department of Biology, York University, Toronto, ON, Canada.

Pouya Rezai (P)

Department of Mechanical Engineering, York University, Toronto, ON, Canada. Electronic address: prezai@yorku.ca.

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Classifications MeSH