Image analysis in histology : conventional and confocal microscopy
著者
書誌事項
Image analysis in histology : conventional and confocal microscopy
（Postgraduate medical science）
Published in association with Royal Postgraduage Medical School, University of London, by Cambridge University Press, 1995
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内容説明・目次
内容説明
This volume provides a timely and useful introduction to the theory and practical application of image analysis in histology. This powerful research technique can be used to detect not only stored products in a cell (immunocytochemistry) but the synthetic machinery and the genes that control it (in situ hybridisation), as well as the specific binding sites that act as receptors for a molecule following its release (in vitro autoradiography). The book provides a good introduction for beginners before looking in greater detail at more advanced material in selected areas. The volume highlights the importance of technique in gathering quantitative information. The book is divided into four sections: introductory material, image acquisition, image processing, and applications. The applications areas include quantitative immunochemistry, quantification of nerves and neurotransmitters and automated grain counting in in situ hybridisation histochemistry.
目次
- Part I. Basics: 1. Introduction to histological image processing R. Wootton
- 2. Hardware and software for image processing M. E. Sherrington
- 3. Image input and display J. G. Weymes
- 4. Image processing operation file formats in biological image analysis D. C. Abrams
- 5. Basic image on the digitized image S. Bradbury
- 6. Study design P. K. Clark
- 7. Principles of stereology M. A. Browne, C. V. Howard and G. D. Jolleys
- Part II. Image Acquisition: 8. Samples and preparation methods D. R. Springall
- 9. Light microscopy P. J. Evennett
- 10. Confocal optical microscopy A. Boyde
- 11. Transmission electron microscopy F. Gracia-Navarro, A. Ruiz-Navarro, S. Garcia- Navarro and J. Castano
- 12. Television cameras and scanners P. M. Gaffney
- Part III. Image Processing: 13. Segmentation A. K. C. Wong
- 14. Edge detection in microscopic images M. Y. Jaisimha and R. M. Haralick
- 15. Image registration J. R. Jagoe
- 16. Computational haze removal N. F. Clinch and V. A. Moss
- 17. Computer based 3-D models of biological structures M. J. Cookson and W. F. Whimster
- 18. 3-D visualization M. J. Cookson, R. A. Reynolds and D. C. Abrams
- Part IV. Applications: 19. Quantitative immunocytochemistry J. T. McBride
- 20. Quantification of nerves and neurotransmitters using image analysis T. Cowen
- 21. Automated grain counting as applied to in situ hybridization histochemistry J. A. Chowen.
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