Work

Modeling, validation and verification of cell-scaffold contact measurements over terabyte-sized 3D image collection

Year: 2016

Type: conference-paper

Abstract: This poster presents the problem of 3D contact measurements from two co-registered volumetric images (z-stacks). The 3D contact measurement consists of (a) segmenting an object of interest in each z-stack, (b) computing the relative spatial positions of the detected objects to detect contacts, (c) validating the accuracy of segmentation, and (d) visually verifying correct contact detection. The 3D measurement has to overcome challenges related to (1) intensity bleed-through across co-registered volumes, (2) insufficient knowledge about statistics and geometry of objects, (3) large RAM requirements (~3GB just to load the input data) and data volume (>1TB), and (4) complexity of 3D visual inspection.

Source: IEEE International Conference on Big Data (BigData)

DOI: 10.1109/bigdata.2016.7841072

Authors: Peter Bajcsy, Stephen J. Florczyk, Soweon Yoon, Mylene Simon, Mary Brady, Ram Sriram, Nathan Hotaling, Nicholas Schaub, Carl G. Simon, Piotr M. Szczypinski

Institutions: University of Central Florida, National Institute of Standards and Technology, Material Measurement Laboratory, Lodz University of Technology

Language: English

Topic: Cell Image Analysis Techniques

Subfield: Biophysics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W2584875107

FWCI: 0.876

Cites: 1

Cited by: 1

Related to: 10