By reducing workflow handoffs while preserving parameter control and exportable results, BactoMate enables accessible, reproducible, and scalable quantitative analysis of microbial microscopy data.
The results show that bacterial multicellular development is an interpretable signature of genotype-phenotype relationships, which can be captured from simple brightfield timelapses, and µPULLI can be used to determine a drug target, characterize other pathogens, and classify bacterial species.
Seh Na S. Mellick, Jesse J. Derringer, Darin Boyes et al.· bioRxiv· 0 citations
Cells display diverse shapes, sizes, and internal structures, particularly among microbial species. These differences reflect how cells adapt to their environments and perform essential functions. Modern three-dimensional (3D) electron microscopy captures this diversity at the nanometer scale, but analysis is slow beca...
3D-MAESTRO is applied to lightsheet images of whole mouse brains in the context of diverse anatomical and functional experiments, illustrating high-throughput and reproducible mapping of microscopic structures across the brain.
Camilo Laiton, Nicholas A. Lusk, Yoni Browning et al.· bioRxiv· 0 citations
Bacterial growth quantification plays a critical role in antimicrobial susceptibility testing, environmental microbial monitoring, and antimicrobial drug discovery. Here, we describe Cytoaura Vision, a cost-effective label-free imaging platform for quantitative and spatial analysis of bacterial growth in standard 96-we...
Kusum Kharga, D. Thakur, Ananya Mukherjee et al.· Journal of Microbiological M...· 0 citations
SCORPy introduces methodological advances for preprocessing multiplexed imaging data: an exposure-aware, cycle-matched background correction strategy, and a normalization framework that harmonizes signal distributions across markers while enabling batch correction across experiments.
Z. Gerber, Samuel Simard, Harshitha Kolipaka et al.· bioRxiv· 1 citation