Applications of gray-level variation detection method to intracellular ice formation |
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Institution: | 1. Institute of Strength Physics and Materials Science, SB RAS, Tomsk, Russia;2. Department of Integrated Computer Control Systems, National Research Tomsk Polytechnic University, Russia;1. Unit of Biomechanics, Laboratory for Testing and Materials, Department of Mechanics, School of Applied Mathematical and Physical Sciences, National Technical University of Athens, Zografou Campus, 157 73 Attiki, Greece;2. NIMTS Hospital, Monis Petraki 10-12, 115 21 Athens, Greece;1. Dept of Physiology & Biomedical Engineering, Mayo Clinic, Rochester, MN, USA;2. Dept of Anesthesiology, Dept of Physiology, University of Tromsø, The Arctic University of Norway, Tromsø, Norway |
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Abstract: | Intracellular ice formation (IIF) is the major cause of death in cells subjected to freezing. The occurrence of intracellular ice prevents the penetration of light into the camera and makes the image dark. Therefore, the gray-level variation can reflect the IIF. However, cell deformation is accompanied with IIF, especially for larger cells. It is necessary to account this entire phenomenon together in a single method. In this paper, the normalized parameter C defined by the gray-level variation depending on the displacement was defined to reflect the gray-level change of each pixel point in the region of interest of the image. The process of IIF of onion epidermal cells and 293T cells was analyzed by this method. |
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Keywords: | Intracellular ice formation Crystal growth Gray-level variation Digital image correlation |
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