An integrated and scalable rodent cage system enabling continuous computer vision-based behavioral analysis and AI-enhanced digital biomarker development DOI Creative Commons

T. L. Robertson,

M. Ellis,

Natalie Bratcher-Petersen

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 26, 2024

1 Abstract Home cage monitoring enables continuous observation of animals in familiar environments. It has large utility preclinical testing, mechanistic studies, animal husbandry, and the general practice Replacement, Reduction, Refinement (3R) principles. Despite its acknowledged utility, broad adoption home not been broadly adopted. This is mainly due to complexity tasks that must be solved have a successful system includes hardware sensor development, data management, machine vision expertise, behavioral support, user training. Here, we describe Digital In Vivo System (DIV Sys), modern end-to-end for video-based rodent monitoring. The DIV Sys consists cloud-based study design, monitoring, display, visualization app App), local acquisition cages (DAX), learning model tracking mice (mHydraNet) optimized speed accuracy, display app, an advanced behavior quantification workbench Data). platform seamlessly manages terabytes video cloud built around enterprise-level security standards. Collaborative tools enable teams across geographical locations work together. As demonstration used analyze over century mouse videos multiple geographic locations. We also characterized 8 strains carried out customized analysis. Together, present scalable research community.

Language: Английский

An integrated and scalable rodent cage system enabling continuous computer vision-based behavioral analysis and AI-enhanced digital biomarker development DOI Creative Commons

T. L. Robertson,

M. Ellis,

Natalie Bratcher-Petersen

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 26, 2024

1 Abstract Home cage monitoring enables continuous observation of animals in familiar environments. It has large utility preclinical testing, mechanistic studies, animal husbandry, and the general practice Replacement, Reduction, Refinement (3R) principles. Despite its acknowledged utility, broad adoption home not been broadly adopted. This is mainly due to complexity tasks that must be solved have a successful system includes hardware sensor development, data management, machine vision expertise, behavioral support, user training. Here, we describe Digital In Vivo System (DIV Sys), modern end-to-end for video-based rodent monitoring. The DIV Sys consists cloud-based study design, monitoring, display, visualization app App), local acquisition cages (DAX), learning model tracking mice (mHydraNet) optimized speed accuracy, display app, an advanced behavior quantification workbench Data). platform seamlessly manages terabytes video cloud built around enterprise-level security standards. Collaborative tools enable teams across geographical locations work together. As demonstration used analyze over century mouse videos multiple geographic locations. We also characterized 8 strains carried out customized analysis. Together, present scalable research community.

Language: Английский

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