Image analysis for the biological sciences

  title={Image analysis for the biological sciences},
  author={Chris A. Glasbey and Graham W. Horgan},
Preface Quantitative image analysis is the extraction of information from data which are in the form of pictures. The aim of this book is to cover the basics of image analysis from a statistical perspective , and with emphasis on methods relevant to the biological sciences. The book is written for both biological scientists and applied statisticians, whom, we assume, are mainly interested in analysing images of static objects in laboratory-type situations. No greater knowledge of mathematics… Expand
Statistical image analysis for a confocal microscopy two‐dimensional section of cartilage growth
Images are the source of information in many areas of scientific enquiry. A common objective in these applications is the reconstruction of the true scene from a degraded image. When objects in theExpand
Analysis, Recognition, and Classification of Biological Membrane Images.
Methods of analysis of images of cells and biological membranes such as detection, segmentation, classification and machine learning, registration, tracking, and visualization could facilitate understanding of the underlying physiological structures or help in the interpretation of biological experiments. Expand
Development of software for digital image processing for analysis of neuroangiogenesis
This paper proposes the use of morphological grayscale reconstruction and other morphological operators in order to segment the images properly and shows that the results show that the algorithms allow a suitable segmentation of the objects of interest. Expand
Confocal fluorescence microscopy of leaf cells: an application of Bayesian image analysis
A fully Bayesian approach is proposed for tackling the problem of blind deconvolution, i.e. of concurrently estimating the degradation parameters while segmenting two-dimensional sections, and the results are promising, generating credible intervals which are sufficiently narrow to be useful in practice. Expand
The statistical analysis of plant part appearance — a review
This review addresses the question of how images are stored as typically 105–107 highly structured measurements, and refers to these approaches as local shape, global shape, colour distribution and colour detail (eigenimage analysis). Expand
Comparing marker definition algorithms for watershed segmentation in microscopy images
This paper compares two different pattern recognition techniques proposed for the automatic detection of markers that allow the application of the Watershed Transform to biomedical images acquired via a microscope and concludes that the method based on clustering is an effective tool. Expand
Methodology for Quantitative Analysis of 3-D Nuclear Architecture
This paper describes image processing and analysis methodology for the investigation of nuclear architecture, and the application of these methods to quantitatively explore the promyelocytic leukaemia nuclear bodies (NBs). Expand
Image Analysis and Statistics: A Quantitative Approach to Immunocytochemistry and Related Techniques
The ability to visualize protein and mRNA expression has been invaluable in advancing the authors' understanding of normal and disease conditions, but the subjective approach used to analyze the data has meant that the amount and type of information obtained depend on the individual analyst and his or her experience. Expand
The use of digital image analysis in the study of laminated sediments
The use of digital image analysis for the investigation of many natural phenomena is not novel. A vast amount of literature exists on its application to the study of a diversity of physicalExpand
Automatic marker determination algorithm for watershed segmentation using clustering
The use of clustering techniques for the automatic detection of markers that allows the application of the Watershed Transform to biomedical images are proposed and the results allow us to conclude that the method proposed is an effective tool for theApplication of the WT. Expand