5 papers
From Sparse AFM Observations to Probabilistic Macroscale Mechanics: A Generative-Physics Framework for Plant Cell Walls
Samundra Karki, Angona Biswas, Nabila Masud +3
Nanoscale imaging of developing plant cell walls is expensive, and a limited number of atomic force microscopy (AFM) scans cannot capture the full structural variability of the wal…
Artifact Removal and Image Restoration in AFM:A Structured Mask-Guided Directional Inpainting Approach
Juntao Zhang, Angona Biswas, Jaydeep Rade +5
Atomic Force Microscopy (AFM) enables high-resolution surface imaging at the nanoscale, yet the output is often degraded by artifacts introduced by environmental noise, scanning im…
In-Context Adaptation of VLMs for Few-Shot Cell Detection in Optical Microscopy
Shreyan Ganguly, Angona Biswas, Jaydeep Rade +9
Foundation vision-language models (VLMs) excel on natural images, but their utility for biomedical microscopy remains underexplored. In this paper, we investigate how in-context le…
ProFusion: 3D Reconstruction of Protein Complex Structures from Multi-view AFM Images
Jaydeep Rade, Md Hasibul Hasan Hasib, Meric Ozturk +8
AI-based in silico methods have improved protein structure prediction but often struggle with large protein complexes (PCs) involving multiple interacting proteins due to missing 3…
3D Reconstruction of Protein Structures from Multi-view AFM Images using Neural Radiance Fields (NeRFs)
Jaydeep Rade, Ethan Herron, Soumik Sarkar +2
Recent advancements in deep learning for predicting 3D protein structures have shown promise, particularly when leveraging inputs like protein sequences and Cryo-Electron microscop…