A bioimage informatics QVEST: quick, versatile and easy segmentation & tracking system

Nelson, Carl J.; Obara, Boguslaw

Abstract

Often bioimage informatics solutions are developed on a case-by-case system and, once complete, may not be developed or used in a wide spread of applications. Here we demonstrate how a single image analysis technique can be used to segment objects in different 3D microscopy images including tracking through time series, segmenting complex shapes and segmenting multiple objects in a single image, including touching or clustered objects. We have used our speedy and robust deformable mesh system to segment a variety of different objects and track them through time series of images. We have designed a vector field-driven active mesh with a novel local termination method, using directional constraints for tracking and simple pre-processing steps for different scenarios. We feel this is the first step to developing a system that is Quick, Versatile, i.e. capable of dealing with many different scenarios with equal accuracy and precision and Easy to use for a range of bioimaging Segmentation and Tracking needs: this is our QVEST.

Citation

Nelson, C. J., & Obara, B. (2014, July). A bioimage informatics QVEST: quick, versatile and easy segmentation & tracking system. Presented at Society for Experimental Biology (SEB) Manchester 2014, Manchester, UK

• Presentation Conference Type: Conference Paper (published)
• Conference Name: Society for Experimental Biology (SEB) Manchester 2014
• Start Date: Jul 1, 2014
• End Date: Jul 4, 2014
• Publication Date: Jul 1, 2014
• Deposit Date: Jan 16, 2015
• Publisher: Society for Experimental Biology
• Public URL: https://durham-repository.worktribe.com/output/1153606
• Publisher URL: http://www.sebiology.org/meetings/Past_Meetings/Manchester/programmes.html
• Additional Information: Conference date: 1st - 4th of July 2014 Poster Session – Wednesday 2nd July 2014