A novel surface-based geometric approach for 3d dendritic spine detection from multi-photon excitation microscopy images

Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009

Volumn , Issue , 2009, Pages 1255-1258

  Li, Qing ^a,b   Zhou, Xiaobo ^a   Deng, Zhigang ^b   Baron, Matthew ^c   Teylan, Merilee A ^c   Kim, Yong ^c   Wong, Stephen T C ^a  

^a HOUSTON METHODIST RESEARCH INSTITUTE   (United States)

^b UNIVERSITY OF HOUSTON   (United States)

^c ROCKEFELLER UNIVERSITY   (United States)

Author keywords

Geometric measurement estimation; Microscopy images; Spine detection; Watershed

Indexed keywords

3D STRUCTURE; 3D SURFACE; AFTER-IMAGES; AUTOMATED DETECTION; COMPARISON RESULT; DENDRITIC SPINE; FLUORESCENCE MICROSCOPY IMAGES; FUNCTIONAL PROPERTIES; GEOMETRIC APPROACHES; GEOMETRIC FEATURE; GEOMETRIC MEASUREMENT ESTIMATION; GEOMETRIC MEASUREMENTS; INDEX TERMS; MICROSCOPY IMAGES; MULTIPHOTON EXCITATION; NEURON RECONSTRUCTION; NOVEL METHODS; NOVEL SURFACES; SEGMENTATION METHODS; SPINE DETECTION; STATE OF THE ART; STRUCTURAL INFORMATION;

ALGORITHMS; AUTOMATION; DENDRIMERS; ESTIMATION; FLUORESCENCE MICROSCOPY; IMAGE PROCESSING; IMAGE RECONSTRUCTION; IMAGING SYSTEMS; LANDFORMS; MORPHOLOGY; WATERSHEDS;

THREE DIMENSIONAL;

EID: 70449336056     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2009.5193290     Document Type: Conference Paper

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