Post-processing for statistical image analysis in light microscopy

Richard A Cardullo; Edward H Hinchcliffe

doi:10.1016/B978-0-12-407761-4.00012-9

Post-processing for statistical image analysis in light microscopy

Methods Cell Biol. 2013:114:285-315. doi: 10.1016/B978-0-12-407761-4.00012-9.

Authors

Richard A Cardullo¹, Edward H Hinchcliffe

Affiliation

¹ Department of Biology, The University of California Riverside, California, USA.

PMID: 23931511
DOI: 10.1016/B978-0-12-407761-4.00012-9

Abstract

Image processing of images serves a number of important functions including noise reduction, contrast enhancement, and feature extraction. Whatever the final goal, an understanding of the nature of image acquisition and digitization and subsequent mathematical manipulations of that digitized image is essential. Here we discuss the basic mathematical and statistical processes that are routinely used by microscopists to routinely produce high quality digital images and to extract key features of interest using a variety of extraction and thresholding tools.

Keywords: Contrast-enhancement; Convolution filters; Image processing; Lookup table; Noise reduction; Thresholding.

MeSH terms

Algorithms
Animals
Cells, Cultured
Data Interpretation, Statistical*
Electronic Data Processing
Fluorescence Recovery After Photobleaching
Fourier Analysis
Humans
Image Processing, Computer-Assisted / methods*
Microscopy, Confocal / methods
Microscopy, Fluorescence / methods
Signal-To-Noise Ratio