Overview of advanced image analysis methods and tools in microscopy

Velickova, Nevenka (2017) Overview of advanced image analysis methods and tools in microscopy. In: 45 Октомвриски средби, научен собир на лаборанти со меѓународно присуство, 19-22 Oct 2017, Struga, R.Macedonia.

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Abstract

Microscope image processing is a broad term that covers the use of digital image processing techniques to process, analyze and present images obtained from a microscope. Such processing is now common place in a number of diverse fields such as medicine, biological research, cancer research, drug testing, metallurgy, etc. The overview consists of lecture, practical assignments using programmable image analysis software and experience with microscopes (i.e. image acquisition). This present a brief overview of computer-aided image analysis tools and tasks for microscopy. The aim of this overview is to introduce the laboratory technicians to the modern tools of signal processing and data mining for microscopy, highlighting opportunities for innovative research in citology, histology and other area of medicine. Images play a major role in understanding of biological processes. Bio-molecular rocesses are visualized by a range of microscopical techniques and modalities. Image processing for microscopy application begins with fundamental techniques intended to most accurately reproduce the information contained in the microscopic sample. At times, advanced techniques are employed with the goal of "undoing" the distortion of the optical path of the microscope, thus eliminating distortions and blurring caused by the instrumentation. The study of cells is the study of basic or fundamental medicine, and living cells offer one of the most accessible models of biological processes we scientists have.

Item Type: Conference or Workshop Item (Speech)
Subjects: Medical and Health Sciences > Basic medicine
Divisions: Faculty of Medical Science
Depositing User: Nevenka Velickova
Date Deposited: 13 Dec 2017 14:28
Last Modified: 13 Dec 2017 14:28
URI: http://eprints.ugd.edu.mk/id/eprint/18646

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