Pattern Detection in Three-Dimensional Cryo-EM Images of Filament Bundles
Description/Abstract/Artist Statement
Cryo-electron microscopy is a fast-developing technology with many applications in structural biology analysis. Since most biological specimens are radiosensitive, they must be imaged using low doses of radiation. More radiation produces higher resolution images but risks causing radiation damage to the specimen. Low dose imaging produces noisier images that are often difficult to analyze. The purpose of this project is to develop an effective image processing tool using the nature of filaments in a bundle. By using cross-correlation and convolution on cross sections of the filament images, we are able to detect the overall direction of the bundle that can be utilized in downstream detection of individual filaments.
Faculty Advisor/Mentor
Jing He
Presentation Type
Oral Presentation
Disciplines
Bioinformatics
Session Title
Biological Sciences 2 Presentations
Location
Learning Commons @ Perry Library Conference Room 1310
Start Date
2-3-2018 10:15 AM
End Date
2-3-2018 11:15 AM
Pattern Detection in Three-Dimensional Cryo-EM Images of Filament Bundles
Learning Commons @ Perry Library Conference Room 1310
Cryo-electron microscopy is a fast-developing technology with many applications in structural biology analysis. Since most biological specimens are radiosensitive, they must be imaged using low doses of radiation. More radiation produces higher resolution images but risks causing radiation damage to the specimen. Low dose imaging produces noisier images that are often difficult to analyze. The purpose of this project is to develop an effective image processing tool using the nature of filaments in a bundle. By using cross-correlation and convolution on cross sections of the filament images, we are able to detect the overall direction of the bundle that can be utilized in downstream detection of individual filaments.