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Eye-Trace: Segmentation of Volumetric Microscopy Images with Eyegaze


Templier, Thomas; Bektas, Kenan; Hahnloser, Richard H R (2016). Eye-Trace: Segmentation of Volumetric Microscopy Images with Eyegaze. In: 2016 CHI Conference on Human Factors in Computing Systems, San Jose, CA USA, 7 May 2016 - 12 May 2016, 5812-5823.

Abstract

We introduce an image annotation approach for the analysis of volumetric electron microscopic imagery of brain tissue. The core task is to identify and link tubular objects (neuronal fibers) in images taken from consecutive ultrathin sections of brain tissue. In our approach an individual 'flies' through the 3D data at a high speed and maintains eye gaze focus on a single neuronal fiber, aided by navigation with a handheld gamepad controller. The continuous foveation on a fiber of interest constitutes an intuitive means to define a trace that is seamlessly recorded with a desktop eyetracker and transformed into precise 3D coordinates of the annotated fiber (skeleton tracing). In a participant experiment we validate the approach by demonstrating a tracing accuracy of about the respective radiuses of the traced fibers with browsing speeds of up to 40 brain sections per second.

Abstract

We introduce an image annotation approach for the analysis of volumetric electron microscopic imagery of brain tissue. The core task is to identify and link tubular objects (neuronal fibers) in images taken from consecutive ultrathin sections of brain tissue. In our approach an individual 'flies' through the 3D data at a high speed and maintains eye gaze focus on a single neuronal fiber, aided by navigation with a handheld gamepad controller. The continuous foveation on a fiber of interest constitutes an intuitive means to define a trace that is seamlessly recorded with a desktop eyetracker and transformed into precise 3D coordinates of the annotated fiber (skeleton tracing). In a participant experiment we validate the approach by demonstrating a tracing accuracy of about the respective radiuses of the traced fibers with browsing speeds of up to 40 brain sections per second.

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Additional indexing

Item Type:Conference or Workshop Item (Speech), refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Language:English
Event End Date:12 May 2016
Deposited On:27 Jan 2017 08:22
Last Modified:08 Dec 2017 22:42
Publisher:Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems
Series Name:CHI '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems
Number of Pages:12
Free access at:Official URL. An embargo period may apply.
Publisher DOI:https://doi.org/10.1145/2858036.2858578
Official URL:http://dl.acm.org/citation.cfm?id=2858578&CFID=786736297&CFTOKEN=10952673

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