Leveraging CryoEM and AI-Driven Morphological Feature Analysis for Insights on Bacterial Structures
Sita Sirisha Madugula, Lynnicia N. Massenburg, Spenser R. Brown, Amber N. Bible, Chanda R. Harris, Lance X. Zhang, Kiara Parker, Scott T. Retterer, Jennifer L. Morrell‐Falvey, Rama Krishnan Vasudevan, Alexis N. Williams
This paper develops an AI-driven workflow for automated analysis of bacterial ultrastructure in cryoEM data, enabling rapid and accurate quantification of membrane thickness, flagella length, and bacterial arrangement.
bioRxiv · Dec 8, 2025 · PreprintMicrobiology