Semiautomatic microscopy as a tool for cytologists
Glaser, E.M.; McMullen, N.T.
Boletin de la Asociacion Medica de Puerto Rico 8(2): 116-127
1986
ISSN/ISBN: 0004-4849 PMID: 2425823 Document Number: 279674
Despite impressive advances in the application of computer image analysis to cytology, many of the identification tasks that cytologists are called on to perform remain refractory to automated image analysis. The major reason is that a large fraction of these images, though simple for a human to deal with, are too complex to yield to current image analysis methodologies. It may be years before automated computer image analysis is reduced to clinical practicality. Even then, it is not clear that all cytologic image analyses will prove amenable to automation. In the meantime, semiautomatic image analysis (computer-aided microscopy) can provide a viable alternative, especially to persistently difficult image analysis problems. In semiautomatic image analysis, the onerous tasks of data acquisition--e.g., stage movement, data entry and storage--are left to the computer, while the decision-making tasks-e.g., identifying a cell's morphologic class--are left to the observer. Such a system proves to be easy and flexible to use as well as economical to build. It can also provide a reliable data base for the later evaluation of fully automated systems as they are developed. One such semiautomatic system, the Image Combining Computer Microscope (ICCM), is described, and the range of its application is illustrated. Some of the examples of ICCM applications discussed are: neuronal cell plots, three-dimensional dendrite tracking, serial section reconstruction of axons and mapping of plaques and tangles in Alzheimer's disease. They illustrate how powerful a semiautomated system can be in handling complex image analysis problems. It is suggested that semiautomated image analysis provides a viable long-range alternative to many cytologic image analysis problems.