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An interactive deep learning-based approach reveals mitochondrial cristae topologies
The convolution of membranes called cristae is a critical structural and functional feature of mitochondria. Crista structure is highly diverse between different cell types, reflecting their role in metabolic adaptation. However, their precise three-dimensional (3D) arrangement requires volumetric analysis of serial electron microscopy and has therefore been limiting for unbiased quantitative assessment. Suga, Nakamura et al. developed a novel, publicly available, deep learning (DL)-based image analysis platform called Python-based human-in-the-loop workflow (PHILOW). Analysis of dense, large, and isotropic volumes of focused ion beam-scanning electron microscopy (FIB-SEM) using PHILOW reveals the complex 3D nanostructure of both inner and outer mitochondrial membranes and provides deep, quantitative, structural features of cristae in a large number of individual mitochondria. The image shows the 3D reconstruction of mitochondria (white), lamellar cristae (yellow), and tubular cristae (cyan) in an NIH3T3 cell.
Image Credit: Shogo Suga and Koki Nakamura
Citation: (2023) PLoS Biology Issue Image | Vol. 21(8) September 2023. PLoS Biol 21(8): ev21.i08. https://doi.org/10.1371/image.pbio.v21.i08
Published: September 12, 2023
Copyright: © 2023 . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The convolution of membranes called cristae is a critical structural and functional feature of mitochondria. Crista structure is highly diverse between different cell types, reflecting their role in metabolic adaptation. However, their precise three-dimensional (3D) arrangement requires volumetric analysis of serial electron microscopy and has therefore been limiting for unbiased quantitative assessment. Suga, Nakamura et al. developed a novel, publicly available, deep learning (DL)-based image analysis platform called Python-based human-in-the-loop workflow (PHILOW). Analysis of dense, large, and isotropic volumes of focused ion beam-scanning electron microscopy (FIB-SEM) using PHILOW reveals the complex 3D nanostructure of both inner and outer mitochondrial membranes and provides deep, quantitative, structural features of cristae in a large number of individual mitochondria. The image shows the 3D reconstruction of mitochondria (white), lamellar cristae (yellow), and tubular cristae (cyan) in an NIH3T3 cell.
Image Credit: Shogo Suga and Koki Nakamura