Abstract Title

Astrocyte Segmentation Classification: ImageJ Plugin

Abstract

Image segmentation is a complex area of work that, when perfected, could create a plethora of innovation and discoveries. Our current research focuses on using image segmentation to extract data of astrocyte cells, the most abundant glial cells found within the brain. We were given an existing plugin that failed to work consistently. We refactored the plugin and replaced the previous preprocessing method with our own method. Then we corrected the method of defining the astrocyte cell body and its primary branches. Finally, we added functionality to save data extracted from the astrocytes and allowed for segmenting multiple astrocytes from a single image. Our future work involves developing a new method for defining the cell body and primary branches of the astrocyte for better accuracy, and creating a method for automatic seed points.

Modified Abstract

Image segmentation is a complex area of work that is much needed in many fields of science. Our current research focuses on using image segmentation to extract data of astrocyte cells. We were given an existing plugin that failed to work consistently. We refactored the plugin and replaced the previous preprocessing method with our own method. Then we corrected the method of defining the astrocyte cell body and its primary branches. Finally, we added functionality to save data extracted from the astrocyte and allowed for segmenting multiple astrocytes from a single image. Our future work involves developing a new method for defining the cell body and primary branches of the astrocyte for better accuracy and creating a method for automatic seed points.

Research Category

Computer Science/Mathematics

Primary Author's Major

Computer Science

Mentor #1 Information

Dr. Cheng Chang Lu

Mentor #2 Information

Dr. Robert Clements

Presentation Format

Poster

Start Date

5-4-2018 1:00 PM

Research Area

Graphics and Human Computer Interfaces | Investigative Techniques | Medical Cell Biology | Molecular and Cellular Neuroscience | Software Engineering

Share

COinS
 
Apr 5th, 1:00 PM

Astrocyte Segmentation Classification: ImageJ Plugin

Image segmentation is a complex area of work that, when perfected, could create a plethora of innovation and discoveries. Our current research focuses on using image segmentation to extract data of astrocyte cells, the most abundant glial cells found within the brain. We were given an existing plugin that failed to work consistently. We refactored the plugin and replaced the previous preprocessing method with our own method. Then we corrected the method of defining the astrocyte cell body and its primary branches. Finally, we added functionality to save data extracted from the astrocytes and allowed for segmenting multiple astrocytes from a single image. Our future work involves developing a new method for defining the cell body and primary branches of the astrocyte for better accuracy, and creating a method for automatic seed points.