NDLI: Automatic 3D reconstruction of mitochondrion with local intensity distribution signature and shape feature

Content Provider	IEEE Xplore Digital Library
Author	Hui Li Yan Qiu Chen
Copyright Year	2013
Description	Author affiliation: Sch. of Comput. Sci., Fudan Univ., Shanghai, China (Hui Li; Yan Qiu Chen)
Abstract	Mitochondria play an important role in cellular physiology and synaptic function. Recent electron microscopy (EM) advances make it possible to observe mitochondrial structure on nanoscale, but the attendant massive EM data unfortunately requires months of tedious manual labor. In this paper, we present an automatic approach for the 3D reconstruction of mitochondria from anisotropic EM stack. We first extract a novel local intensity distribution signature (LIDS) feature and learn a random forest classifier (RF) in x-y directions to obtain coarse superpixels. A random disjoint-set forest algorithm can then cluster these superpixels into supervoxels. Next, we use a 3D erosion and dilation method to discard unsatisfying structures, e.g., neural membrane or synapse. At last, the second random forest classifier is learned combining with mitochondrial shape and texture features, which can select the real mitochondria effectively. The confidence values are given to help human experts decide which mitochondrion to be reviewed first. We evaluate the proposed approach on two different anisotropic EM stacks of drosophila brain and compare against the current state-of-the-art methods.
Starting Page	596
Ending Page	600
File Size	9453276
Page Count	5
File Format	PDF
ISBN	9781479923410
DOI	10.1109/ICIP.2013.6738123
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-15
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Three-dimensional displays Radio frequency Feature extraction Shape Microscopy Computer vision Clustering algorithms Connectomics Mitochondrion 3D Reconstruction Random Forest Electron Microscopy
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in