Ismail M. Khater

The paper investigates how mechanical stress affects caveolae mechanics, leading to the release of caveolin-1 scaffolds and modulation of signaling pathways like JAK1, eNOS, PTEN, and PTP1B.

siMILe identifies condition-specific protein structures from SMLM data by using adversarial erasing and multiple instance learning, showing improved detection of caveolae and structural variations.

HDCluster is a high-degree graph clustering algorithm for SMLM data that efficiently handles large datasets and outperforms existing methods in speed and noise robustness.

SuperResNET analyzes single-molecule imaging data to show that Pitstop 2 and Dynasore alter clathrin structure in distinct ways in HeLa cells.

SuperResNET GUI analyzes single molecule data to reconstruct subcellular structures at molecular resolution without prior models.

This study uses machine learning to distinguish caveolae from scaffolds in SMLM data, achieving high accuracy with random forest and CNN models.