Refractive index tomograms and dynamic membrane fluctuations of red blood cells from patients with diabetes mellitus
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YongKeun Park | Kyoohyun Kim | HyunJoo Park | SangYun Lee | Kyoohyun Kim | Hyunjoo Park | S. Jang | Yongkeun Park | Sangyun Lee | Seongsoo Jang | Yong-Hak Sohn | YongHak Sohn | YongHak Sohn
[1] A. C. Burton,et al. Distribution of Size and Shape in Populations of Normal Human Red Cells , 1968, Circulation research.
[2] D. Goldstein,et al. Defining the relationship between plasma glucose and HbA(1c): analysis of glucose profiles and HbA(1c) in the Diabetes Control and Complications Trial. , 2002, Diabetes care.
[3] R. Barer. Determination of Dry Mass, Thickness, Solid and Water Concentration in Living Cells , 1953, Nature.
[4] K Zouaoui Boudjeltia,et al. Assessment of erythrocyte shape by flow cytometry techniques , 2006, Journal of Clinical Pathology.
[5] Barry R. Masters,et al. Quantitative Phase Imaging of Cells and Tissues , 2012 .
[6] Michael Unser,et al. Learning approach to optical tomography , 2015, 1502.01914.
[7] S. Jain,et al. Elevated lipid peroxidation levels in red blood cells of streptozotocin-treated diabetic rats. , 1991, Metabolism: clinical and experimental.
[8] Gabriel Popescu,et al. Optical imaging of cell mass and growth dynamics. , 2008, American journal of physiology. Cell physiology.
[9] Kyoohyun Kim,et al. Optical diffraction tomography techniques for the study of cell pathophysiology , 2016, 1603.00592.
[10] Subra Suresh,et al. Cellular normoxic biophysical markers of hydroxyurea treatment in sickle cell disease , 2016, Proceedings of the National Academy of Sciences.
[11] E. Wolf. Three-dimensional structure determination of semi-transparent objects from holographic data , 1969 .
[12] J. Chi,et al. Hemoglobin consumption by P. falciparum in individual erythrocytes imaged via quantitative phase spectroscopy , 2016, Scientific Reports.
[13] YongKeun Park,et al. Active illumination using a digital micromirror device for quantitative phase imaging. , 2015, Optics letters.
[14] M. Friebel,et al. Model function to calculate the refractive index of native hemoglobin in the wavelength range of 250-1100 nm dependent on concentration. , 2006, Applied optics.
[15] YongKeun Park,et al. Spectroscopic phase microscopy for quantifying hemoglobin concentrations in intact red blood cells , 2009, BiOS.
[16] S. D. Babacan,et al. White-light diffraction tomography of unlabelled live cells , 2014, Nature Photonics.
[17] Pasquale Memmolo,et al. Tomographic flow cytometry by digital holography , 2016, Light: Science & Applications.
[18] Sung-Hee Hong,et al. Characterizations of individual mouse red blood cells parasitized by Babesia microti using 3-D holographic microscopy , 2015, Scientific Reports.
[19] Yongkeun Park,et al. Refractive index maps and membrane dynamics of human red blood cells parasitized by Plasmodium falciparum , 2008, Proceedings of the National Academy of Sciences.
[20] E Ernst,et al. Altered Red and White Blood Cell Rheology in Type II Diabetes , 1986, Diabetes.
[21] G. Truskey,et al. Quantitative microscopy and nanoscopy of sickle red blood cells performed by wide field digital interferometry. , 2011, Journal of biomedical optics.
[22] In vitro effects of high glucose concentrations on membrane protein oxidation, G‐actin and deformability of human erythrocytes , 2005, Cell biochemistry and function.
[23] S. Jain,et al. Hyperglycemia can cause membrane lipid peroxidation and osmotic fragility in human red blood cells. , 1989, The Journal of biological chemistry.
[24] Subra Suresh,et al. Biophysics of Malarial Parasite Exit from Infected Erythrocytes , 2011, PloS one.
[25] Nir S. Gov,et al. Metabolic remodeling of the human red blood cell membrane , 2010, Proceedings of the National Academy of Sciences.
[26] Subra Suresh,et al. Optical measurement of biomechanical properties of individual erythrocytes from a sickle cell patient. , 2012, Acta biomaterialia.
[27] YoungJu Jo,et al. Quantitative Phase Imaging Techniques for the Study of Cell Pathophysiology: From Principles to Applications , 2013, Sensors.
[28] H Minamitani,et al. Direct measurement of erythrocyte deformability in diabetes mellitus with a transparent microchannel capillary model and high-speed video camera system. , 2001, Microvascular research.
[29] YongKeun Park,et al. Real-time quantitative phase imaging with a spatial phase-shifting algorithm. , 2011, Optics letters.
[30] F. Leoncini,et al. Evaluation of erythrocyte morphology as deformability index in patients suffering from vascular diseases, with or without diabetes mellitus: correlation with blood viscosity and intra-erythrocytic calcium. , 1998, Clinical hemorheology and microcirculation.
[31] S. Shevkoplyas,et al. Effect of osmolality on erythrocyte rheology and perfusion of an artificial microvascular network. , 2015, Microvascular research.
[32] Pasquale Memmolo,et al. 3D morphometry of red blood cells by digital holography , 2014, Cytometry. Part A : the journal of the International Society for Analytical Cytology.
[33] P. Gallop,et al. The glycosylation of hemoglobin: relevance to diabetes mellitus. , 1978, Science.
[34] Jong Chul Ye,et al. Real-time Visualization of 3-d Dynamic Microscopic Objects Using Optical Diffraction Tomography References and Links , 2022 .
[35] YongKeun Park,et al. High-resolution three-dimensional imaging of red blood cells parasitized by Plasmodium falciparum and in situ hemozoin crystals using optical diffraction tomography , 2013, Journal of biomedical optics.
[36] YongKeun Park,et al. Measuring cell surface area and deformability of individual human red blood cells over blood storage using quantitative phase imaging , 2016, Scientific Reports.
[37] Z. Bloomgarden,et al. Review of hemoglobin A1c in the management of diabetes , 2009, Journal of diabetes.
[38] Terry E. Moschandreou,et al. Blood Cell - An Overview of Studies in Hematology , 2012 .
[39] YongKeun Park,et al. Profiling individual human red blood cells using common-path diffraction optical tomography , 2014, Scientific Reports.
[40] P. So,et al. Diffraction optical tomography using a quantitative phase imaging unit. , 2014, Optics letters.
[41] Youngchan Kim,et al. Common-path diffraction optical tomography for investigation of three-dimensional structures and dynamics of biological cells. , 2014, Optics express.
[42] Jong Chul Ye,et al. Comparative study of iterative reconstruction algorithms for missing cone problems in optical diffraction tomography. , 2015, Optics express.
[43] Kyoohyun Kim,et al. Label-free characterization of white blood cells by measuring 3D refractive index maps. , 2015, Biomedical optics express.
[44] Christian Depeursinge,et al. Determination of Transmembrane Water Fluxes in Neurons Elicited by Glutamate Ionotropic Receptors and by the Cotransporters KCC2 and NKCC1: A Digital Holographic Microscopy Study , 2011, The Journal of Neuroscience.
[45] M. D. Delano. Simple physical constraints in hemolysis. , 1995, Journal of theoretical biology.
[46] P. Gallop,et al. Further identification of the nature and linkage of the carbohydrate in hemoglobin A1c. , 1975, Biochemical and biophysical research communications.
[47] D. McMillan,et al. Reduced Erythrocyte Deformability in Diabetes , 1978, Diabetes.
[48] N. Mohandas,et al. Red blood cell deformability, membrane material properties and shape: regulation by transmembrane, skeletal and cytosolic proteins and lipids. , 1993, Seminars in hematology.
[49] Subra Suresh,et al. Pf155/RESA protein influences the dynamic microcirculatory behavior of ring-stage Plasmodium falciparum infected red blood cells , 2012, Scientific Reports.
[50] Pasquale Memmolo,et al. Investigation on dynamics of red blood cells through their behavior as biophotonic lenses , 2016, Journal of biomedical optics.
[51] YongKeun Park,et al. Three-dimensional refractive index tomograms and deformability of individual human red blood cells from cord blood of newborn infants and maternal blood , 2015, Journal of biomedical optics.
[52] I. Gluzman,et al. Plasmodium falciparum maturation abolishes physiologic red cell deformability. , 1984, Science.
[53] T Suzuki,et al. Rheologic properties of senescent erythrocytes: loss of surface area and volume with red blood cell age. , 1992, Blood.
[54] Sehyun Shin,et al. Erythrocyte deformability and its variation in diabetes mellitus. , 2007, Indian journal of experimental biology.
[55] J. Miller,et al. Nonenzymatic glycosylation of erythrocyte membrane proteins. Relevance to diabetes. , 1980, The Journal of clinical investigation.
[56] Sang Yun Lee,et al. The Effects of Ethanol on the Morphological and Biochemical Properties of Individual Human Red Blood Cells , 2015, PloS one.
[57] S. Jain,et al. Erythrocyte Membrane Lipid Peroxidation and Glycosylated Hemoglobin in Diabetes , 1989, Diabetes.
[58] YongKeun Park,et al. Optical characterization of red blood cells from individuals with sickle cell trait and disease in Tanzania using quantitative phase imaging , 2016, Scientific Reports.
[59] P Memmolo,et al. Red blood cell as an adaptive optofluidic microlens , 2015, Nature Communications.
[60] Kyoohyun Kim,et al. White-light quantitative phase imaging unit. , 2016, Optics express.
[61] R. Nagel,et al. Oxidation of Spectrin and Deformability Defects in Diabetic Erythrocytes , 1991, Diabetes.
[62] Mor Habaza,et al. Tomographic phase microscopy with 180° rotation of live cells in suspension by holographic optical tweezers. , 2015, Optics letters.
[63] A. Doblas,et al. Diabetes screening by telecentric digital holographic microscopy , 2016, Journal of microscopy.
[64] M. Cooper,et al. Mechanisms of diabetic complications. , 2013, Physiological reviews.
[65] Gabriel Popescu,et al. Real Time Blood Testing Using Quantitative Phase Imaging , 2013, PloS one.
[66] YongKeun Park,et al. Quantitative phase imaging unit. , 2014, Optics letters.