Book Chapter10.1016/B978-0-444-87137-4.50006-0
Acuity: Image Analysis for the Personal Computer
Ian T. Young,Roelof Roos +1 more
13
TL;DR: The Acuity software package as mentioned in this paper is a C-based package that provides image segmentation into the individual objects (automatic and/or interactive), measurement of object features, and measurement statistics.
read more
Abstract: The analysis of images has traditionally been confined to the domain of the minicomputer (and larger). With the advent of technology such as the MC-680×0 it is now possible to analyse complex images on personal computers in reasonable time. The Acuity software package provides such a possibility for the measurement of the properties of objects in an image. The package, written entirely in C, consists of approximately 120 kB of code and provides image segmentation into the individual objects (automatic and/or interactive), measurement of object features, and measurement statistics. Automatic image segmentation is generally based upon histogram analysis with the possibility of pre-filtering. Interactive segmentation makes use of a mouse interface. After the image has been split into the individual objects, measurements are performed. The features fall into several categories: Position (2 measures), Size (2 measures), Shape (6 measures), Intensity (2 measures), and Texture (4 measures). The formulas used to compute the measures are based upon recent developments in digital-image measurement theory. A number of utilities are available to define an experiment (e.g., to choose which features need to be measured), to print a summary of the measured data, to print a limited set of descriptive statistics, or to format the output data (feature vectors) in a manner that is compatible with commercially available data analysis software (e.g., StatWorks™, MacSpin™, Excel™). The complete analysis of a 256 2 image that contains approximately 60 objects each with an approximate diameter of 25 pixels takes about 35 seconds. This is on a personal computer that uses a MC-68020 with a clock frequency of 16 MHz and a MC-68881 floating point co-processor.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
FISH and chips: automation of fluorescent dot counting in interphase cell nuclei.
TL;DR: A completely automated fluorescence microscope system that can examine 500 cells in approximately 15 min to determine the number of labeled chromosomes in each cell nucleus, and its accuracies are comparable to panels of human experts (manual).
142
Fluorescent dot counting in interphase cell nuclei
TL;DR: A completely automated fluorescence microscope system that counts fluorescent hybridization dots for one probe in interphase cell nuclei and results approximate the results of manual counting are presented.
Automated analysis of FISH and immunohistochemistry images: A review
Zenonas Theodosiou,Ioannis Kasampalidis,George Livanos,Michalis Zervakis,Ioannis Pitas,Kleoniki Lyroudia +5 more
TL;DR: A comprehensive review of a number of (semi‐) automated FISH and IHC image processing systems, focusing on the algorithmic aspects of each technique, verifies the increasingly important role of such methods in FISHand IHC.
Towards a quantitative grading of bladder tumors
TL;DR: A set of measurable features that quantitate the differences in tumor tissue are described and evaluated to be quite reproducible in the presence of noise, reasonably reproduced in the event of a modest amount of defocusing, and less reproducibleIn the context of which fields-of-view are chosen for analysis.
Patent
Foreground segmentation and nucleus ranking for scoring dual ish images
Anindya Sarkar,Jim F. Martin +1 more
- 29 Jan 2016
TL;DR: In this article, a method of foreground segmentation and nucleus ranking for scoring dual ISH images is described. But the method has not yet been applied in the case of image classification.
15
References
•Journal Article
Picture thresholding using an iterative selection method.
T. W. Ridler,S. Calvard +1 more
2.4K
Automatic measurement of sister chromatid exchange frequency.
G W Zack,W E Rogers,S A Latt +2 more
TL;DR: An automatic system for detecting and counting sister chromatid exchanges in human chromosomes has been developed and showed satisfactory agreement up to levels of approximately 30 sister chromatsid exchanges/cell, or slightly more than twice control levels.
942
An analysis technique for biological shape. I
TL;DR: An analysis technique for biological shape based on the concept of bending energy provides several new results concerning image processing including a sampling theorem for simply connected closed contours and a fast algorithm for calculation of the bending energy.
256
Characterization of Chromatin Distribution in Cell Nuclei
TL;DR: Four measures attempt to describe in an objective and meaningful way the heterogeneity, granularity, condensation, and margination of chromatin in cell nuclei in nuclear chromatin.