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Title: Interactive visual exploration of overlapping similar structures for three-dimensional microscope images.
Authors: Nakao, Megumi  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-5508-4366 (unconfirmed)
Takemoto, Shintaro
Sugiura, Tadao
Sawada, Kazuaki
Kawakami, Ryosuke
Nemoto, Tomomi
Matsuda, Tetsuya  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-2339-1521 (unconfirmed)
Author's alias: 中尾, 恵
Keywords: Interactive visualization
Multi-dimensional transfer functions
Neural structures
Microscopic images
Issue Date: 19-Dec-2014
Publisher: BioMed Central
Journal title: BMC bioinformatics
Volume: 15
Issue: 1
Thesis number: 415
Abstract: [Background]Recent advances in microscopy enable the acquisition of large numbers of tomographic images from living tissues. Three-dimensional microscope images are often displayed with volume rendering by adjusting the transfer functions. However, because the emissions from fluorescent materials and the optical properties based on point spread functions affect the imaging results, the intensity value can differ locally, even in the same structure. Further, images obtained from brain tissues contain a variety of neural structures such as dendrites and axons with complex crossings and overlapping linear structures. In these cases, the transfer functions previously used fail to optimize image generation, making it difficult to explore the connectivity of these tissues. [Results]This paper proposes an interactive visual exploration method by which the transfer functions are modified locally and interactively based on multidimensional features in the images. A direct editing interface is also provided to specify both the target region and structures with characteristic features, where all manual operations can be performed on the rendered image. This method is demonstrated using two-photon microscope images acquired from living mice, and is shown to be an effective method for interactive visual exploration of overlapping similar structures. [Conclusions]An interactive visualization method was introduced for local improvement of visualization by volume rendering in two-photon microscope images containing regions in which linear nerve structures crisscross in a complex manner. The proposed method is characterized by the localized multidimensional transfer function and interface where the parameters can be determined by the user to suit their particular visualization requirements.
Rights: © 2014 Nakao et al.; licensee BioMed Central. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
URI: http://hdl.handle.net/2433/196840
DOI(Published Version): 10.1186/s12859-014-0415-x
PubMed ID: 25523409
Appears in Collections:Journal Articles

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