Header

UZH-Logo

Maintenance Infos

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.

Statistics

Altmetrics

Downloads

10 downloads since deposited on 27 Jan 2017
10 downloads since 12 months
Detailed statistics

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:29 Jan 2017 07:34
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

Download

Preview Icon on Download
Preview
Filetype: PDF
Size: 3MB
View at publisher

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations