title: 3DSEM: A 3D microscopy dataset.
abstract: The Scanning Electron Microscope (SEM) as a 2D imaging instrument has been widely used in many scientific disciplines including biological, mechanical, and materials sciences to determine the surface attributes of microscopic objects. However the SEM micrographs still remain 2D images. To effectively measure and visualize the surface properties, we need to truly restore the 3D shape model from 2D SEM images. Having 3D surfaces would provide anatomic shape of micro-samples which allows for quantitative measurements and informative visualization of the specimens being investigated. The 3DSEM is a dataset for 3D microscopy vision which is freely available at [1] for any academic, educational, and research purposes. The dataset includes both 2D images and 3D reconstructed surfaces of several real microscopic samples.
authors.affiliation: Department of Computer Science, University of Wisconsin-Milwaukee, WI, USA.
authors.forename: Ahmad P
authors.initials: AP
authors.lastname: Tafti
authors.affiliation: Department of Biological Sciences, University of Wisconsin-Milwaukee, WI, USA.
authors.forename: Andrew B
authors.initials: AB
authors.lastname: Kirkpatrick
authors.affiliation: Department of Biological Sciences, University of Wisconsin-Milwaukee, WI, USA.
authors.forename: Jessica D
authors.initials: JD
authors.lastname: Holz
authors.affiliation: Department of Biological Sciences, University of Wisconsin-Milwaukee, WI, USA.
authors.forename: Heather A
authors.initials: HA
authors.lastname: Owen
authors.affiliation: Department of Computer Science, University of Wisconsin-Milwaukee, WI, USA.
authors.forename: Zeyun
authors.initials: Z
authors.lastname: Yu
keywords: 3D SEM surface reconstruction; 3D microscopy dataset; 3D microscopy vision; Scanning Electron Microscope (SEM)