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A Study on an Automatic Multi-Focus System for Cell Observation

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초록

This study is concerned with the mechanism and structure of an optical microscope and an automatic multifocusalgorithm for automatically selecting sharp images from multiple foci of a cell. To obtain precise cellimages quickly, a z-axis actuator with a resolution of 0.1 μm was designed to control an optical microscopeMoreover, a lighting control system was constructed to select the color and brightness of light that best suit theobject being viewed. Cell images are captured by the instrument and the sharpness of each image is determinedusing Gaussian and Laplacian filters. Next, cubic spline interpolation and peak detection algorithms are appliedto automatically find the most vivid points among multiple images of a single object. A cancer cell imagingexperiment using propidium iodide staining confirmed that a sharp multipoint image can be obtained usingthis microscope. The proposed system is expected to save time and effort required to extract suitable cell imagesand increase the convenience of cell analysis.

Abstract

This study is concerned with the mechanism and structure of an optical microscope and an automatic multifocusalgorithm for automatically selecting sharp images from multiple foci of a cell. To obtain precise cellimages quickly, a z-axis actuator with a resolution of 0.1 μm was designed to control an optical microscopeMoreover, a lighting control system was constructed to select the color and brightness of light that best suit theobject being viewed. Cell images are captured by the instrument and the sharpness of each image is determinedusing Gaussian and Laplacian filters. Next, cubic spline interpolation and peak detection algorithms are appliedto automatically find the most vivid points among multiple images of a single object. A cancer cell imagingexperiment using propidium iodide staining confirmed that a sharp multipoint image can be obtained usingthis microscope. The proposed system is expected to save time and effort required to extract suitable cell imagesand increase the convenience of cell analysis.

참고문헌 (9)

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  2. J. C. van Wolfswinkel, "Single-cell analysis reveals functionally distinct classes within the planarian stem cell compartment", Cell Stem Cell, 15(3), pp.326~339 (2014)
  3. Liukui Chen, "A fusion approach based on infrared finger vein transmitting model by using multi-light-intensity imaging", Human-centric Computing and Information Sciences, 7(1) (2017), Springer Science and Business Media LLC[DOI]
  4. Seokhoon Jeong, "Development of an automatic sorting system for fresh ginsengs by image processing techniques", Human-centric Computing and Information Sciences, 7(1) (2017), Springer Science and Business Media LLC[DOI]
  5. Chouchane Ammar, "Evaluation of Histograms Local Features and Dimensionality Reduction for 3D Face Verification", JIPS(Journal of Information Processing Systems), 12(3), pp.468~488 (2016), 한국정보처리학회
  6. S. A. Dyer, "Cubic-spline interpolation 1", IEEE Instrumentation & Measurement Magazine, 4(1), pp.44~46 (2001)
  7. MinhPhuoc Hong, "Efficient motion blurred shadows using a temporal shadow map", Human-centric Computing and Information Sciences, 7(1) (2017), Springer Science and Business Media LLC[DOI]
  8. Wei Song, "A 3D localisation method in indoor environments for virtual reality applications", Human-centric Computing and Information Sciences, 7(1) (2017), Springer Science and Business Media LLC[DOI]
  9. O. P. Kallioniemi, "Automated peak detection and cell cycle analysis of flow cytometric DNA histograms", Cytometry : The Journal of the International Society for Analytical Cytology, 16(3), pp.250~255 (1994)

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