Projects

This project is an analysis of the Rotten Tomatoes Movies dataset, sourced from Kaggle.

The purpose of this project is to train a CNN predictor that can predict inclinations of the magnetization of a source body in the subsurface, given a magnetic data map.

The application utilizes data from various sources including Kaggle and Data World to provide users with detailed information about each park including its location and activities.

This project observed the YouTube’s Videos category, counts, likes and comments based per country and its relation to each other.

Neuronal nuclear SOD1 in response to oxidative stress via single-molecule tracking.

We examined the oligomeric states of hCTR1 complexes using super-resolution localization microscopy.

We created a homemade easy-to-use graphical user interface (GUI) to demonstrate the fundamental concept of smSRM, the fitting of super-resolved images, as well as the significance of key characteristics that would affect the image quality.

We reported a new method using combined approaches of organelle-specific redox sensor Grx1-roGFP2 and non-targeted proteomics to investigate the real-time Cu-dependent antioxidant defenses of mitochondria and cytosol in live HEK293 cells.

Imaging platform optimization via light sheet setup

We provide a noise-free single-molecule interaction simulation (SMIS) tool to quantify the interaction kinetic rate constants without using the traditional single-molecule analytical solution approach.