Abstract
Pathology digital lab is the modern, flexible and time effective research assistant. The process of creating pathology slides contains five creation steps from the tissue samples collection till clearing and staining stage. The reservation and sharing of such slides using classical models limit the ability of pathologists to benefit from important and rare slides. The virtual lab with its digital slides conquers those limitations and adds more intelligence to research and diagnosis fields. Having the digital slides, it is easy to save, share, search, apply automatic diagnosis through pattern recognition techniques, getting alerts for new slides and much more. The target of this work is to present the virtual lab design with its functionalities by explaining the glass slides creation process and then digitalize through scanners and the digital lab platform.
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References
Kayser, K., Kayser, G., Radziszowski, D., Oehmann, A.: From telepathology to virtual pathology institution: the new world of digital pathology. Rom. J. Morphol. Embryol. 45, 3–9 (1999)
Kayser, K., Borkenfeld, S., Kayser, G.: Recent development and perspectives of virtual slides (vs) and telepathology in europe. Diagnostic Pathology 8(suppl. 1), S2 (2013)
Krenacs, T., Zsakovics, I., Micsik, T., Fonyad, L., Varga, S.V., Ficsor, L., Kiszler, G., Molnar, B.: Digital microscopy: the upcoming revolution in histopathology teaching, diagnostics, research and quality assurance. Microscopy: Science, Technology, Applications and Education 2, 965–977 (2010)
Hamilton, P.W., Wang, Y., McCullough, S.J.: Virtual microscopy and digital pathology in training and education. Apmis 120(4), 305–315 (2012)
Wong, B., Edward, O., Warren, E.: Tissue sampling methods and standards for vertebrate genomics. Giga Science 1(8), 1–12 (2012)
Wilson, L.B.: A method for the rapid preparation of fresh tissues for the microscope. Journal of the American Medical Association 45(23), 1737–1737 (1905)
Jawhar, N.M.: Tissue microarray: a rapidly evolving diagnostic and research tool. Annals of Saudi Medicine 29(2), 123 (2009)
Bancroft, J.D., Gamble, M.: Theory and practice of histological techniques. Elsevier Health Sciences (2008)
Stathonikos, N., Veta, M., Huisman, A., van Diest, P.J.: Going fully digital: Perspective of a dutch academic pathology lab. Journal of Pathology Informatics 4 (2013)
Al-Janabi, S., Huisman, A., Van Diest, P.J.: Digital pathology: current status and future perspectives. Histopathology 61(1), 1–9 (2012)
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Adl, A., Shaheed, I.B., Shaalan, M.I., Al-Mokaddem, A.K., Hassanien, A.E. (2014). Digital Pathological Services Capability Framework. In: Hassanien, A.E., Tolba, M.F., Taher Azar, A. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2014. Communications in Computer and Information Science, vol 488. Springer, Cham. https://doi.org/10.1007/978-3-319-13461-1_12
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DOI: https://doi.org/10.1007/978-3-319-13461-1_12
Publisher Name: Springer, Cham
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