Northwestern Events Calendar

Feb
24
2023

Statistics and Data Science Seminar Series: "Unbiased and Robust Analysis of Co-localization in Super-resolution Microscope Images"

When: Friday, February 24, 2023
11:00 AM - 12:00 PM CT

Where: Chambers Hall, Ruan Conference Room – lower level , 600 Foster St, Evanston, IL 60208 map it

Audience: Faculty/Staff - Post Docs/Docs - Graduate Students

Contact: Kisa Kowal   (847) 491-3974

Group: Department of Statistics and Data Science

Category: Academic, Lectures & Meetings

Description:

Unbiased and Robust Analysis of Co-localization in Super-resolution Microscope Images

Hui Zhang, Professor of Preventive Medicine (Biostatistics) in the Division of Biostatistics, Department of Preventive Medicine, Northwestern university Feinberg School of Medicine

Abstract: Spatial data from high-resolution images abound in many scientific disciplines. For example, single-molecule localization microscopy, such as stochastic optical reconstruction microscopy, provides super-resolution images to help scientists investigate co-localization of proteins and hence their interactions inside cells, which are key events in living cells. However, there are few accurate methods for analyzing co-localization in super-resolution images. The current methods and software are prone to produce false-positive errors and are restricted to only 2-dimensional images. In this talk, we will present a novel statistical method to effectively address the problems of unbiased and robust quantification and comparison of protein co-localization for multiple 2- and 3-dimensional image datasets. This method significantly improves the analysis of protein co-localization using super-resolution image data, as shown by its excellent performance in simulation studies and an analysis of light chain 3-lysosomal-associated membrane protein 1 protein co-localization in cell autophagy. Moreover, this method is directly applicable to co-localization analyses in other disciplines, such as diagnostic imaging, epidemiology, environmental science, and ecology.

 

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