DocumentCode :
733778
Title :
A cannula-based computational fluorescence microscope for neuronal imaging
Author :
Ganghun Kim ; Nagarajan, Naveen ; Meiri, Amihai ; Merrill, Sean ; Capecchi, Mario ; Jorgensen, Erik M. ; Menon, Rajesh
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Utah, Salt Lake City, UT, USA
fYear :
2015
fDate :
10-15 May 2015
Firstpage :
1
Lastpage :
2
Abstract :
We applied nonlinear optimization to convert a cannula into a high-resolution computational-fluorescence microscope. The microscope was used to image fluorescent microspheres, genetically-encoded mouse-brain slices, genetically-encoded and fluorescent-stained C. elegans nematodes (both living and dead animals).
Keywords :
biomedical optical imaging; brain; fluorescence; neurophysiology; nonlinear optics; optical microscopes; optimisation; cannula-based computational fluorescence microscope; dead animals; fluorescent microspheres; fluorescent-stained C. elegans nematodes; genetically-encoded C. elegans; genetically-encoded mouse-brain slices; high-resolution computational-fluorescence microscope; living animals; neuronal imaging; nonlinear optimization; Cities and towns; Fluorescence; Image reconstruction; Image resolution; Microscopy; Optical microscopy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Lasers and Electro-Optics (CLEO), 2015 Conference on
Conference_Location :
San Jose, CA
Type :
conf
Filename :
7184220
Link To Document :
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