Digital image processing and analysis with imagej

Current Protocols in Essential Laboratory Techniques

Volumn 2014, Issue , 2014, Pages A.3C.1-A.3C.29

  Gallagher, Sean R ^a  

^a UVP LLC   (United States)

Author keywords

Computer graphics; Digital imaging; Electrophoresis; Fluorescence based imaging; Gel analysis; Image enhancement; Image interpretation; Imaging; Microscopy; Protein blotting; Software

Indexed keywords

ARTICLE; COMPUTER GRAPHICS; COMPUTER PROGRAM; CONTROLLED STUDY; DIGITAL IMAGING; ELECTROPHORESIS; FLUORESCENCE IMAGING; IMAGE ANALYSIS; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE QUALITY; NEAR INFRARED IMAGING SYSTEM; ONLINE SYSTEM; PRIORITY JOURNAL; PROTEIN BLOTTING;

EID: 84949213380     PISSN: None     EISSN: 19483430     Source Type: Journal    
DOI: 10.1002/9780470089941.eta03cs9     Document Type: Article

References (5)

1. Burger, W. and Burge, M. 2008. Digital Image Processing: An Algorithmic Introduction Using Java. Springer, New York.
2. Burger, W. and Burge, M. 2009a. Principles ofDigital Image Processing: Fundamental Techniques. Springer, London.
3. Burger, W. and Burge, M. 2009b. Principles of Digital Image Processing: Core Algorithms. Springer, London.
4. Collins, T.J. 2007. ImageJ for microscopy. BioTechniques 43:25-30.
5. Ferreira, T.A. and Rasband, W. 2012. The ImageJ User Guide Version 1.46r. http://rsbweb.nih.gov/ij/docs/user-guide.pdf.