L. Lewejohann

In search of a conditioned place preference test for mice to assess the severity of experimental procedures

The paper tests various protocols for a conditioned place preference test in mice to assess experimental procedure severity but finds none produce reliable results.

Development and Application of Home Cage Monitoring in Laboratory Mice and Rats: a Systematic Review

This paper reviews the development of home cage monitoring in mice and rats, showing increased use of automation and expanded behavioral and physiological parameters over time.

Development of an IntelliCage based Cognitive Bias Test for Mice.

The paper develops an automated home-cage cognitive bias test for mice, showing mice exhibit optimistic bias after environmental changes.

Effects of more natural housing conditions on the muscular and skeletal characteristics of female C57BL/6J mice

This study examines the effects of different housing conditions on musculoskeletal characteristics and body weight in female C57BL/6J mice, finding that semi-naturalistic environments improve musculoskeletal parameters and reduce stress hormone levels.

Rating enrichment items by group-housed laboratory mice in multiple binary choice tests using an RFID-based tracking system

The paper uses an RFID-based tracking system to assess preferences of laboratory mice for different enrichment items in binary choice tests, revealing category-specific preferences and individual variability.

O mouse, where art thou? The Mouse Position Surveillance System (MoPSS) - an RFID based tracking system

The paper introduces MoPSS, an RFID-based tracking system for group housed mice, validated for accuracy and affordability in preference testing.

Alternate without alternative: Neither preference nor simple learning behaviour shown by C57BL/6J mice in the T-maze

This study tests preference and learning behavior in C57BL/6J mice using T-maze protocols but finds no preference, only alternating choices.

Repeatability analysis improves the reliability of behavioral data

This study shows that habituation and repeatability analysis improve the reliability of behavioral data in mice by identifying stable measurement points.

Towards a fully automated surveillance of well-being status in laboratory mice using deep learning

This paper develops a semi-automated system to assess mouse well-being using deep learning, achieving up to 99% accuracy in pain/no-pain classification.