NUST Institutions Library Catalogue

Mice actively interact with their surrounding environment influencing physical, social,
emotional well-being and sizably govern behaviors including stress responses, social
interactions and exploration, setting a crucial foundation for general quality of life.
Suboptimal environment conditions lead the laboratory mice to have impaired social
behavior, elevated anxiety level and physiological stress. Environmental parameters such
as temperature, light, noise and air quality have great impact on mice growth, reproduction
and behavioral development. Recognizing these interactions necessitates the behest of an
environment monitoring system. So, this study set forth design, development and setup of
real time environment monitoring system for mice. Integration of multiple sensors provides
controlled and stable conditions for experimental setup, bestowing continuous,
uninterrupted monitoring of crucial environmental parameters, incorporating the factors
vital for sustaining healthy, stable and stress-free environment. The system provides us
with real time visualization of data, automated alarm system and immediate action toward
environmental fluctuation. The data kept being stored continuously providing reliable,
long-term access to analysis & monitoring. Besides, Real time feedback, regulating the
surrounding environment resulting in better Behavioral activities and good food/water
intake pattern. To test this hypothesis evaluation of anxiety like behavior was conducted
via five behavioral tests. Results give an idea of better activity and reduce stress like
behavior in experiment group mice housed in real time environment monitoring cage as
compared to control group mice housed in a normal cage. Notably, in the post-28-day
behavioral tests, all results showed a p-value smaller than 0.05, confirming the statistical
significance of these findings. So, the findings highlight the system competence bestowing
mice wellbeing and behavioral development. Therefore, demonstrating technologies can
be applied to achieve ethical and scientific diligence along with adaptability and scalability
in future.