Abstract
How ultrastructural alterations in cardiomyocytes lead to heart disease remains unclear. Therefore, there is interest in simulate cardiac myocytes with realistic 3-D models of myocyte shape and structure. Using deep learning and image processing, we developed an efficient method to generate 3-D models of cardiac myocytes without the need for manual segmentation. Image processing was used to segment borders between mitochondria in two series of serial-block-face scanning electron microscopy (SBF-SEM) images of healthy mouse ventricular cardiomyocytes. Computed mitochondrial size and morphologies were in good agreement with published measurements. These new automated methods will facilitate more realistic simulation studies of cardiac myocytes and enable new investigations of the links between altered mitochondrial morphology and heart diseases.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Rog-Zielinska, E.A., O’Toole, E.T., Hoenger, A., Kohl, P.: Mitochondrial deformation during the cardiac mechanical cycle. Anat. Rec. 302(1), 146–152 (2019)
Hussain, A., et al.: An automated workflow for segmenting single adult cardiac cells from large volume serial block-face scanning electron microscopy data. J. Struct. Biol. 202, 275–285 (2018)
Haberl, M.G., et al.: CDeep3M—Plug-and-Play cloud-based deep learning for image segmentation. Nat. Methods 15(9), 677–680 (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Someya, M., Tanaka, H., Hatano, A., Izumi, S., Hoshijima, M., McCulloch, A.D. (2021). Development of an Ultrastructural Model of Cardiomyocytes Based on Electron Microscopy. In: Shiraishi, Y., Sakuma, I., Naruse, K., Ueno, A. (eds) 11th Asian-Pacific Conference on Medical and Biological Engineering. APCMBE 2020. IFMBE Proceedings, vol 82. Springer, Cham. https://doi.org/10.1007/978-3-030-66169-4_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-66169-4_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-66168-7
Online ISBN: 978-3-030-66169-4
eBook Packages: EngineeringEngineering (R0)