Smart cages, better welfare : supporting the 3Rs in animal research with home-cage monitoring and system selection

Kaura, Rohish (author), Hrnčić, Dragan (author), Dervišević, Amela (author), Borbelyova, Veronika (author), Selin Çevik, Özge (author), Heffer, Marija (author), Čater, Maša (author)

High welfare standards for animals used in research is as much an ethical issue as it is a cornerstone of high-quality science. Researchers can improve both animal welfare and data reliability by implementing strategies that reduce stress in experimental animals. One modern and effective approach is to monitor animals within their familiar home-cage environment. Home-cage monitoring (HCM) systems integrate multiple approaches to utomatically, continuously, and non-invasively monitor the physiology and behaviour of laboratory animals within their home environments. HCM favours the animals’ natural rhythms and behaviours while reducing stress from various sources and the need for human intervention. In this article, we explore how HCM contributes to the 3Rs framework introduced by Russell and Burch and focus particularly on how to select the most appropriate HCM system for specific research needs. We discuss available resources and practical limitations for system choice, and provide a brief outlook on the evolving role of artificial intelligence to analyse HCM data. We also discuss the opportunities and barriers to HCM adoption, particularly in relation to countries with developing research structure and limited funding in Europe. Our central message is clear: use of HCM technologies supports 3Rs and promotes both better science and better animal welfare.

• Language: English
• Keywords: laboratory animals, automated behaviour tracking, refinement, continuous data collection, stress
• Work type: Article
• Typology: 1.02 - Review Article
• Organization: BF - Biotechnical Faculty
• Publication status: Published
• Publication version: Version of Record
• Publication date: 31.12.2025
• Year: 2025
• Number of pages: Str. 249-258
• Numbering: Vol. 62, no. 4
• PID: 20.500.12556/RUL-177713
• UDC: 57.084
• ISSN on article: 2385-8761
• DOI: 10.26873/SVR-2247-2025
• COBISS.SI-ID: 255682819
• Publication date in RUL: 05.01.2026

Record is a part of a journal

• Title: Slovenian veterinary research
• Publisher: Veterinarska fakulteta, Veterinarska fakulteta, Založba Univerze v Ljubljani
• ISSN: 2385-8761
• COBISS.SI-ID: 275836160

Licences

• License: CC BY-SA 4.0, Creative Commons Attribution-ShareAlike 4.0 International
• Link: http://creativecommons.org/licenses/by-sa/4.0/
• Description: This Creative Commons license is very similar to the regular Attribution license, but requires the release of all derivative works under this same license.

Secondary language

• Language: Slovenian
• Title: Pametne kletke, večja dobrobit : podpora načelom 3R v raziskavah na živalih s spremljanjem v domači kletki in ustrezno izbiro sistema

Abstract

Visoki standardi dobrobiti živali v raziskavah niso zgolj etična obveznost, temveč tudi temelj visokokakovostne znanosti. Raziskovalci lahko izboljšajo tako dobrobit živali kot tudi zanesljivost podatkov z uvedbo strategij, ki zmanjšujejo stres pri poskusnih živalih. Eden izmed sodobnih in učinkovitih pristopov je spremljanje živali v njihovem domačem okolju. Sistemi za spremljanje v domači kletki (HCM, angl. home-cage monitoring) združujejo več pristopov za samodejno, neprekinjeno in neinvazivno spremljanje fiziologije in vedenja laboratorijskih živali v njihovem domačem okolju. HCM podpira naravne ritme in vedenja živali ter zmanjšuje stres iz različnih virov in potrebo po posegih človeka. V članku opisujemo, kako HCM prispeva k načelom 3R, ki sta ga uvedla Russell in Burch, s posebnim poudarkom na izbiri najprimernejšega sistema HCM za specifične raziskovalne potrebe. Obravnavamo razpoložljive vire in praktične omejitve pri izviri sistema ter podajamo kratek pogled na razvijajočo se vlogo umetne inteligence pri analizi podatkov HCM. Prispevek obravnava tudi priložnosti in ovire pri uvajanju HCM, zlasti v povezavi z državami z manj razvito raziskovalno infrastrukturo in omejenimi sredstvi v Evropi. Naše osrednje sporočilo je jasno: uporaba tehnologij HCM podpira načela 3R ter spodbuja boljšo dobrobit živali in boljšo znanost.

• Keywords: laboratorijske živali, dobrobit živali, načelo 3R, avtomatsko spremljanje obnašanja, izboljšave, kontinuirno zbiranje podatkov, stres