Ji-Xin Cheng

Chemical Image Analysis

PROJECT DESCRIPTION
The goal of this project is to create an integrated framework of chemical image analysis, including various methods of denoising and image segmentation that have been developed by the Cheng lab. The outcome will be a user-friendly interface of image data analysis. The student will be supervised by Cheng and Haonan Lin, a data science expert in Cheng lab.

LABORATORY MENTOR
Haonan Lin

RESEARCH GOALS
To create a framework of hyperspectral image analysis using both supervised and unsupervised approaches.

LEARNING GOALS
• Denoising
• Image segmentation
• Programming in python
• Interface development

TIMELINE
Weeks 1-2: Image denoising
Weeks 3-4: Multivariant curve resolution
Weeks 5-6: LASSO analysis
Weeks 7-8: Machine learning
Weeks 9-10: Integration

Learn more about Professor Ji-Xin Cheng on his faculty page.