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Three-Dimensional Reconstruction of Erythrocytes Using the Novel Method For Corrective Realignment of the Transmission Electron Microscopy Cross-Section Images

Published online by Cambridge University Press:  27 December 2018

Yuzhou Fan ,
Djordje Antonijević Open the ORCID record for Djordje Antonijević [Opens in a new window] ,
Xing Zhong ,
Vladimir S. Komlev ,
Zhiyu Li ,
Marija Đurić  and
Yifang Fan
Yuzhou Fan
Affiliation:
School of Physical Education and Sport Science, Fujian Normal University, 350108 Fuzhou, China Shenzhen Tourism College, Jinan University, 518053 Shenzhen, China
Djordje Antonijević
Affiliation:
School of Physical Education and Sport Science, Fujian Normal University, 350108 Fuzhou, China Laboratory for Anthropology, Institute for Anatomy, School of Medicine, University of Belgrade, 11000 Belgrade, Serbia Laboratory for Atomic Physics, Institute for nuclear science “Vinca”, University of Belgrade, 11000 Belgrade, Serbia
Xing Zhong
Affiliation:
Medical Imaging Center, The First Affiliated Hospital of Jinan University, 510632 Guangzhou, China
Vladimir S. Komlev
Affiliation:
A. A. Baikov Institute of Metallurgy and Materials Science, 119334 Moscow, Russia
Zhiyu Li
Affiliation:
College of Foreign Studies, Jinan University, 510632 Guangzhou, China
Marija Đurić
Affiliation:
Laboratory for Anthropology, Institute for Anatomy, School of Medicine, University of Belgrade, 11000 Belgrade, Serbia
Yifang Fan*
Affiliation:
School of Physical Education and Sport Science, Fujian Normal University, 350108 Fuzhou, China
*
*Author for correspondence: Yifang Fan, E-mail: [email protected]
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Abstract

The detailed kinetics study of erythrocyte deformability is useful for the early diagnosis of blood diseases and for monitoring the blood rheology. Present solutions for a three-dimensional (3D) reconstruction of erythrocytes has a limited potential. This study aimed to use erythrocyte transmission electron images (ETIs) to evaluate the morphological relationship between adjacent ETIs and generate erythrocytes 3D model. First, ultrathin serial sections of skeletal muscle tissue were obtained using an ultramicrotome. Further, the set of ETIs in a capillary were captured by transmission electron microscopy. The images were aligned by translations and rotations using custom software to optimize the morphological relationship between adjacent ETIs. These coordinate transformations exploit the unique principal axis of inertia of each image to define the body coordinate system and hence provide the means to accurately reconnect the adjacent ETIs. The sum of the distances between the corresponding points on the boundary of adjacent ETIs was minimized and, further, was optimized by using physiological relationship between the adjacent ETIs. The analysis allowed to define precise virtual relationship between the adjacent erythrocytes. Finally, extracted erythrocytes’ cross-section images allowed to generate 3D model of the erythrocytes.

Keywords

erythrocytethree-dimensional reconstructiontransmission electron microscopymicroanalysis
Type
Biological Science Applications
Information
Microscopy and Microanalysis , Volume 24 , Issue 6 , December 2018 , pp. 676 - 683
Copyright
© Microscopy Society of America 2018 

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Footnotes

a

The authors equally contributed to the manuscript and share the first authorship.

Cite this article: Fan Y, Antonijević D, Zhong X, Komlev VS, Li Z, Đurić M and Fan Y (2018) Three-Dimensional Reconstruction of Erythrocytes Using the Novel Method for Corrective Realignment of the Transmission Electron Microscopy Cross-Section Images. Microsc Microanal24(6), 676–683. doi: 10.1017/S1431927618015325

References

Foley, C Mackey, MC (2009) Dynamic hematological disease: A review. J Math Biol 58, 285–322.Google Scholar
Satzler, K, Sohl, LF, Bollmann, JH, Borst, JG, Frotscher, M, Sakmann, B Lubke, J (2002) Three-dimensional reconstruction of a calyx of held and its postsynaptic principal neuron in the medial nucleus of the trapezoid body. J Neurosci 22(24), 10567–10579.Google Scholar
Bannister, LH, Hopkins, JM, Margos, G, Dluzewski, AR Mitchell, GH (2004) Three-dimensional ultrastructure of the ring stage of plasmodium falciparum: Evidence for export pathways. Microsc Microanal 10(5), 551–562.Google Scholar
Ahlawat, S, De Jesus, M, Khare, K, Cole, RA Mantis, NJ (2014) Three dimensional reconstruction of murine Peyer’s patches from immunostained cryosections. Microsc Microanal 20(1), 198–205.Google Scholar
Yue, X, Wang, A Li, Q (2018) The role of scanning electron microscopy in the direct diagnosis of onychomycosis. Scanning 9, 1581495.Google Scholar
Zhang, H, Li, X, Chen, Y, Park, J, Li, AP Zhang, XG (2017) Postprocessing algorithm for driving conventional scanning tunneling microscope at fast scan rates. Scanning 2017, 1097142.Google Scholar
Karreman, MA, van Donselaar, EG, Gerritsen, HC, Verrips, CT Verkleij, AJ (2011) VIS2FIX: A high-speed fixation method for immuno-electron microscopy. Traffic 12, 806–814.Google Scholar
Al-Amoudi, A Frangakis, AS (2013) Three-dimensional visualization of the molecular architecture of cell-cell junctions in situ by cryo-electron tomography of vitreous sections. Methods Mol Biol 961, 97–117.Google Scholar
Sanders, T Aslant, I (2017) Improved three-dimensional (3D) resolution of electron tomograms using robust mathematical data-processing techniques. Microsc Microanal 23(6), 1121–1129.Google Scholar
Sun, C, Müller, E, Meffert, M Gerthsen, D (2018) On the progress of scanning transmission electron microscopy (STEM) imaging in a scanning electron microscope. Microsc Microanal 24(6), 99–106.Google Scholar
Budak, I, Vukeli, D, Bračun, D, Hodolič, J Soković, M (2012) Pre-processing of point-data from contact and optical 3D digitization sensors. Sensors (Basel) 12(1), 1100–1126.Google Scholar
Karp, G (2005) Cell and Molecular Biology: Concepts and Experiments, 6th ed. New Jersey, USA: John Wiley and Sons Inc.Google Scholar
Fan, Y, Luo, L, Djuric, M, Li, Z, Antonijevic, D, Milenkovic, P, Sun, Y, Li, R Fan, Y (2017) Extracting cross-sectional clinical images based on their principal axes of inertia. Scanning 2017, 1468596.Google Scholar
Fan, YY Sun, YY (2017) A method for human identification based on bone in vivo and a computer readable medium (Patent number: China#20170550615.5).Google Scholar
Pianykh, OS (2009) Digital Imaging and Communications in Medicine (DICOM): A Practical Introduction and Survival Guide. Berlin Heidelberg: Springer.Google Scholar
Goldman, LW (2007) Principles of CT and CT technology. J Nucl Med Technol 35(3), 115–128.Google Scholar
Moon, I, Javidi, B, Yi, F, Boss, D Marquet, P (2012) Automated statistical quantification of three-dimensional morphology and mean corpuscular hemoglobin of multiple red blood cells. Opt Express 20(9), 10295–10309.Google Scholar
Stachurska, A, Król, T, Trybus, W, Szary, K Fabijańska-Mitek, J (2016) 3D visualization and quantitative analysis of human erythrocyte phagocytosis. Cell Biol Int 40(11), 1195–1203.Google Scholar
Lobachev, O, Ulrich, C, Steiniger, BS, Wilhelmi, V, Stachniss, V Guthe, M (2017) Feature-based multi-resolution registration of immunostained serial section. Med Image Anal 35, 288–302.Google Scholar
Saafeld, S, Fetter, R, Cardona, A Tomancak, P (2012) Elastic volume reconstruction from series of ultra-thin microscopy sections. Nat Methods 9, 717–720.Google Scholar
Sinibaldi, R, Conti, A, Sinjari, B, Spadone, S, Pecci, R, Palombo, M, Komlev, VS, Ortore, MG, Tromba, G, Capuani, S, Guidotti, R, De Luca, F, Caputi, S, Traini, T Della Penna, S (2018) Multimodal-3D imaging based on μMRI and μCT techniques bridges the gap with histology in visualization of the bone regeneration process. J Tissue Eng Regen Med 12, 750–761.Google Scholar
Carata, L, Shao, D, Hadwiger, M Groller, E (2011) Improving the visualization of electron-microscopy data through optical flow interpolation,” Proceedings of the 27th Spring Conference on Computer Graphics, April 28–30, 2011, Viničné, Slovak Republic, pp. 1–8.Google Scholar
Cifor, A, Bai, L Pitiot, A (2011) Smoothness--guided 3-D reconstruction of 2-D histological images. Neuroimage 56, 197–211.Google Scholar
Periaswamy, S Farid, H (2003) Elastic registration in the presence of intensity variations. IEEE Trans Med Imaging 22, 865–874.Google Scholar

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