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Tytuł artykułu

Phase Object Observation System Based on Diffraction Phase Microscopy

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In the paper authors present a special measurement system for observing phase objects. The diffraction phas microscopy makes it possible to measure the dimensions of a tested object with a nanometre resolution. To meet this requirement, it is proposed to apply a spatial transform. The proposed setup can be based either on a two lenses system (called 4f) or a Wollaston prism. Both solutions with all construction aspects are described in the paper. To make a full analysis of the object shape the authors developed an accurate image processing algorithm, also presented in the paper.
Słowa kluczowe
Rocznik
Strony
213--221
Opis fizyczny
Bibliogr. 18 poz., rys.
Twórcy
autor
  • Gdańsk University of Technology, Faculty of Electronics, Telecommunications and Informatics, G. Narutowicza 11/12, 80-233 Gdańsk, Poland
  • Gdańsk University of Technology, Faculty of Electronics, Telecommunications and Informatics, G. Narutowicza 11/12, 80-233 Gdańsk, Poland
autor
  • Gdańsk University of Technology, Faculty of Electronics, Telecommunications and Informatics, G. Narutowicza 11/12, 80-233 Gdańsk, Poland
Bibliografia
  • [1] Zernike, F. (1942). Phase contrast, a new method for the microscopic observation of transparent objects. Physica, 9(7), 686-698.
  • [2] Zernike, F. (1942). Phase contrast, a new method for the microscopic observation of transparent objects part II. Physica, 9(10), 974-980.
  • [3] Burch, C.R., Stock, J.P.P. (1942). Phase-Contrast Microscopy. J. of Sci. Instr., 19(5), 71-75.
  • [4] Hariharan, P. (2010). Basics of interferometry. Academic Press.
  • [5] Popescu, G., Ikeda, T., Dasari, R.R., Feld, M.S. (2006). Diffraction phase microscopy for quantifying cell structure and dynamics. Opt. Lett., 31(6), 775-777.
  • [6] Park, Y., Popescu, G., Badizadegan, K., Dasari, R.R., Feld, M.S. (2006). Diffraction phase and fluorescence microscopy. Opt. Exp., 14(18), 8263-8268.
  • [7] Bhaduri, B., Edwards, C., Pham, H., Zhou, R., Nguyen, T.H., Goddard, L.L., Popescu, G. (2014). Diffraction phase microscopy: principles and applications in materials and life sciences. Adv. in Opt. and Phot., 6(1), 57-119.
  • [8] Bhaduri, B., Pham, H., Mir, M., Popescu, G. (2017). Diffraction phase microscopy with white light. Opt. Lett., 37(6), 1094-1096.
  • [9] Pluta, M. (1989). Advanced light microscopy. Vol. 2: Specialized Methods. PWN, Elsevier.
  • [10] Babicz-Kiewlicz, S., Stawarz-Graczyk, B., Wierzba, P., Mazikowski, A. (2015). Diffraction Phase Microscopy for observation on red blood cells fluctuation. Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej, 46, 13-16.
  • [11] Majeed, H., Sridharan, Sh., Mir, M., Ma, L., Min, E., Jung, W., Popescu, G. (2017). Quantitative phase imaging for medical diagnosis. J. of Biophot., 10(2), 177-205.
  • [12] Popescu, G., Park, Y., Choi, W., Dasari, R.R., Feld, M.S., Badizadegan, K. (2008). Imaging red blood cell dynamics by quantitative phase microscopy. Blood Cells, Molecules, and Diseases, 41(1), 10-16.
  • [13] Pham, H.V., Bhaduri, B., Tangella, K., Best-Popescu, C., Popescu, G. (2013). Real Time Blood Testing Using Quantitative Phase Imaging. PloS one, 8(2), e55676.
  • [14] Otsu, N. (1979). A thereshold selection method from gray-level histograms. IEEEE Trans. on Systems, Man and Cybernetics, 9(1), 62-66.
  • [15] Kwiatkowski, A., Czerwicka, M., Smulko, J., Stepnowski, P. (2014). Detection of denatonium benzoate (Bitrex) remnants in noncommercial alcoholic beverages by Raman spectroscopy. Journal of Forensic Sciences , 59(5), 1358-1363.
  • [16] Gnyba, M., Smulko, J., Kwiatkowski, A., Wierzba, P. (2011). Portable Raman spectrometer-design rules and applications. Bulletin of the Polish Academy of Sciences: Technical Sciences, 59(3), 325-329.
  • [17] Smulko, J., Darowicki, K. (2003). Nonlinearity of electrochemical noise caused by pitting corrosion. Journal of Electroanalytical Chemistry, 545, 59-63.
  • [18] Lentka, Ł., Smulko, J.M., Ionescu, R., Granqvist, C.G., Kish, L.B. (2015). Determination of gas mixture components using fluctuation enhanced sensing and the LS-SVM regression algorithm. Metrol. Meas. Syst., 22(3), 341-350.
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c59340a4-f976-4beb-92cd-d75837bc990d
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