Health monitoring of laboratory rodents is essential for ensuring animal welfare, meeting regulatory requirements for zoonosis control, and maintaining the integrity and reproducibility of scientific studies. Routine serological screening, conducted in accordance with FELASA guidelines, plays a critical role in the detection of infectious agents. While conventional serological assays typically target individual pathogens, existing multiplex platforms often require specialized equipment and complex protocols, limiting their routine use within animal facilities. The MIRIAD assay is a multiplex ELISA-based platform developed for in-house serological surveillance of rodents. It offers a user-friendly, reliable, and cost-effective alternative to outsourced testing. In this study, we evaluated the performance and usability of the MIRIAD assay by analyzing serum samples from mice (n=68) and rats (n=27). Results were compared to two commercially available single-target ELISAs, with 94 % to 100 % concordance observed across all tested pathogens. Assay compatibility with dried blood spot (DBS) cards was also assessed, demonstrating reliable detection after storage and elution, and supporting the potential for reduced sample volumes and simplified handling. These findings highlight MIRIAD as a practical tool for routine health monitoring in laboratory animal facilities. Its ease of use, minimal sample requirements, and compatibility with DBS technology can facilitate more frequent testing, support early detection of pathogens, and promote adherence to the 3Rs principles through refinement of monitoring practices.
The Hidden Power of Normalization: Exponential Capacity Control in Deep Neural Networks
arXiv:2511.00958v1 Announce Type: cross Abstract: Normalization methods are fundamental components of modern deep neural networks (DNNs). Empirically, they are known to stabilize optimization dynamics and