Literature DB >> 3549532

Computerized interactive morphometry in pathology: current instrumentation and methods.

A M Marchevsky, J Gil, H Jeanty.   

Abstract

This review is concerned with the current applications of interactive computerized morphometry for diagnostic applications. "Interactive" differs from fully automatic procedures in that the essential function of cell recognition is performed by a trained observer, assisted by a computerized instrument that performs all desirable measurement and processing tasks. This article describes the instrumental needs (video systems, computer, and specialized hardware) and interactive peripherals, in particular, high-resolution touch screens for most common and currently useful video analysis tasks. The authors describe a number of general instrumental procedures with widespread applications (point counting, tracing of contours, graphic standards of size and length, shape analysis, automatic edge detection). Diagnostic procedures are based on the generation of multiple data followed by either multivariate statistical analysis that allows diagnosis of individual cases or hierarchical algorithms. The best current application is the objective study of controversial or difficult cases; there is a possibility that in the future interactive computerized morphometry may become useful for the mass screening of cytologic specimens.

Mesh:

Year:  1987        PMID: 3549532     DOI: 10.1016/s0046-8177(87)80160-0

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


  5 in total

Review 1.  The relative merits of direct morphometry of reconstructions of whole cells, and statistical morphometry by stereology of random sections of cells.

Authors:  D F Parsons; M Marko; A Leith
Journal:  Cell Biophys       Date:  1990-12

Review 2.  Basic strategies for valid cytometry using image analysis.

Authors:  A Jonker; W J Geerts; P Chieco; A F Moorman; W H Lamers; C J Van Noorden
Journal:  Histochem J       Date:  1997-05

3.  An automatic analysis method for in situ hybridization using high-resolution image analysis.

Authors:  W Stolz; K Scharffetter; W Abmayr; W Köditz; T Krieg
Journal:  Arch Dermatol Res       Date:  1989       Impact factor: 3.017

4.  Shape, size, and distribution of cell structures by 3-D graphics reconstruction and stereology. I. The regulatory volume decrease of astroglial cells.

Authors:  D F Parsons; R W Cole; H K Kimelberg
Journal:  Cell Biophys       Date:  1989-02

5.  Classification of individual lung cancer cell lines based on DNA methylation markers: use of linear discriminant analysis and artificial neural networks.

Authors:  Alberto M Marchevsky; Jeffrey A Tsou; Ite A Laird-Offringa
Journal:  J Mol Diagn       Date:  2004-02       Impact factor: 5.568

  5 in total

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