Image analysis combined with quantitative cytochemistry
- 1 July 1986
- journal article
- research article
- Published by Springer Nature in Histochemistry and Cell Biology
- Vol. 84 (4-6), 549-555
- https://doi.org/10.1007/bf00482990
Abstract
This paper describes the application of image analysis combined with a quantitative staining method for the analysis of cervical specimens. The image analysis is carried out with the Leyden Television Analysis System, LEYTAS, of which two versions are described. LEYTAS-1 as well as LEYTAS-2 have both been designed with a high degree of flexibility and interaction facilities. A much wider range of image analysis programs is however, possible with LEYTAS-2, enabling many applications. LEYTAS-1, the earlier version, consists of a Leitz microscope with automated functions, a TV camera, the Texture Analysis System (TAS, Leitz), a four-bit grey value memory and a minicomputer (PDP 11/23). Using this instrumentation 1,500 cervical smears prepared from cell suspensions and stained with acriflavin-Feulgen-Sits have been analysed in a completely automated procedure. Image transformations working in parallel on entire fields, have been used for cell selection and artefact rejection. Resulting alarms, consisting of selected single cells and non-rejected artefacts are stored in the grey value memory, which is displayed on a TV monitor. This option allows visual interaction after the machine diagnosis has been made. The machine diagnosis was correct in 320 out 321 specimens with a severe dysplasia or more serious lesion. The false positive rate in 561 morphologically negative specimens (normal and inflammation) was 16% (machine diagnosis). Visual interaction by subtracting the visually recognized false alarms from the total number of alarms reduces the false positive rate to 11%. In LEYTAS-2, which is based on LEYTAS-1 studies, the microscope is equipped with a new type of objective, enabling the analysis of microscope fields, which are four times as large as in LEYTAS-1. The image analysis part consists of the Modular Image Analysis Computer (MIAC, Leitz) and for alarm storage an eight-bit grey value processor is used. Comparison with LEYTAS-1 shows that cell selection capacities are similar and that the speed is four times higher.This publication has 15 references indexed in Scilit:
- DNA image cytometry on machine‐selected breast cancer cells and a comparison between flow cytometry and scanning cytophotometryCytometry, 1985
- Preparation of monolayer smears from paraffin‐embedded tissue for image cytometryCytometry, 1985
- Kombinierte Durchflußzytophotometrie und Bildanalyse zur automatisierten Zytologie von Blasenepithel und ProstataAktuelle Urologie, 1982
- A preparation technique for exfoliated and aspirated cells allowing different staining procedures.1980
- Field test results using the BioPEPR cervical smear prescreening systemCytometry, 1980
- Iterative image transformations for an automatic screening of cervical smears.Journal of Histochemistry & Cytochemistry, 1979
- An automated microscope for quantitative cytology combining television image analysis and stage scanning microphotometry.Journal of Histochemistry & Cytochemistry, 1979
- Reliability of Histo‐Pathological Diagnosis of Squamous Epithelial Changes of The Uterine CervixActa Pathologica Microbiologica Scandinavica Section A Pathology, 1978
- SAMPLE PREPARATION FOR AUTOMATED CERVICAL-CANCER SCREENING1978
- Quality control in cervical cytologyJournal of Clinical Pathology, 1974