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Wang C, Østergaard L, Hasselholt S, Sporring J. A semi-automatic method for extracting mitochondrial cristae characteristics from 3D focused ion beam scanning electron microscopy data. Commun Biol 2024; 7:377. [PMID: 38548849 PMCID: PMC10978844 DOI: 10.1038/s42003-024-06045-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 03/11/2024] [Indexed: 04/01/2024] Open
Abstract
Mitochondria are the main suppliers of energy for cells and their bioenergetic function is regulated by mitochondrial dynamics: the constant changes in mitochondria size, shape, and cristae morphology to secure cell homeostasis. Although changes in mitochondrial function are implicated in a wide range of diseases, our understanding is challenged by a lack of reliable ways to extract spatial features from the cristae, the detailed visualization of which requires electron microscopy (EM). Here, we present a semi-automatic method for the segmentation, 3D reconstruction, and shape analysis of mitochondria, cristae, and intracristal spaces based on 2D EM images of the murine hippocampus. We show that our method provides a more accurate characterization of mitochondrial ultrastructure in 3D than common 2D approaches and propose an operational index of mitochondria's internal organization. With an improved consistency of 3D shape analysis and a decrease in the workload needed for large-scale analysis, we speculate that this tool will help increase our understanding of mitochondrial dynamics in health and disease.
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Affiliation(s)
- Chenhao Wang
- Department of Computer Science, University of Copenhagen, Copenhagen, Denmark.
- Center for Quantification of Imaging Data from MAX IV, Copenhagen, Denmark.
| | - Leif Østergaard
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Center of Functionally Integrative Neuroscience, Aarhus, Denmark
| | - Stine Hasselholt
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Center of Functionally Integrative Neuroscience, Aarhus, Denmark
| | - Jon Sporring
- Department of Computer Science, University of Copenhagen, Copenhagen, Denmark.
- Center for Quantification of Imaging Data from MAX IV, Copenhagen, Denmark.
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Sadeghinezhad J, Nyengaard JR. Morphometry of cervical spinal cord in cat using design-based stereology. Anat Histol Embryol 2021; 50:746-755. [PMID: 34137069 DOI: 10.1111/ahe.12719] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 05/18/2021] [Accepted: 05/23/2021] [Indexed: 11/30/2022]
Abstract
The spinal cord harbours nerve fibres that facilitate reflex actions and that transmit impulses to and from the brain. The cervical spinal cord is an area of particular interest in medicine and veterinary due to frequent pathologic alterations in this region. This study describes the morphometric features of the cervical spinal cord in cat using design-unbiased stereological methods. The cervical spinal cords of four male cats were dissected and samples were taken according to systematic uniform random sampling. Each sample was embedded in agar and cut into 60-µm thick sections and stained with cresyl violet 0.1% for stereological estimations. The total cervical spinal cord volume obtained by the Cavalieri estimator was 2,321.21 ± 285.5 mm3 . The relative volume of grey matter and white matter was 23.8 ± 1.3% and 76.1 ± 1.3%. The dorsal horn and ventral horn volume were 12.3 ± 1.2% and 11.4 ± 0.7% of the whole cervical spinal cord. The volume of central canal was estimated to 3.8 ± 1 mm3 . The total number of neurons was accounted 3,405,366.2 ± 267,469.4 using the optical disector/fractionator method. The number of motoneurons and interneurons was estimated to be 1,120,433.2 ± 174,796.7 and 2,284,932.9 ± 127,261.5, respectively. The average volume of the motoneurons and interneurons was estimated to 1980 µm3 and 680 µm3 , respectively, using the spatial rotator method. This knowledge of cat spinal cord findings may serve as a foundation as a translational model in spinal cord experimental research and provide basic findings for diagnosis and treatment of spinal cord disorders.
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Affiliation(s)
- Javad Sadeghinezhad
- Department of Basic Sciences, Faculty of veterinary Medicine, University of Tehran, Tehran, Iran
| | - Jens Randel Nyengaard
- Core Centre for Molecular Morphology, Section for Stereology and Microscopy, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.,Department of Pathology, Aarhus University Hospital, Aarhus, Denmark
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Vedel Jensen EB. Stereological inference on mean particle shape from vertical sections. AUST NZ J STAT 2021. [DOI: 10.1111/anzs.12309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Eva B. Vedel Jensen
- Department of Mathematics Aarhus University Ny Munkegade 118, bldg. 1530 Aarhus C DK‐8000Denmark
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Y Larsen N, Ziegel JF, Nyengaard JR, Jensen EBV. Stereological estimation of particle shape from vertical sections. J Microsc 2019; 275:183-194. [PMID: 31328794 DOI: 10.1111/jmi.12826] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2019] [Accepted: 07/17/2019] [Indexed: 11/28/2022]
Abstract
In the present paper, we describe a new simple stereological method of estimating volume tensors in 3D from vertical sections. The volume tensors provide information about particle shape in 3D. In a model-based setting, the method requires that the particle distribution is invariant under rotations around the vertical axis. In a design-based approach, where the vertical section is uniformly rotated around the vertical axis, the method provides information about an index of elongation of the particles in the direction of the vertical axis. The method has been implemented on human brain tissue for the analysis of neurons in layer III of the medial frontal gyrus of Brodmann Area 46. In the actual implementation, the new estimator shows similar precision as an earlier estimator, based on an optical rotator design, but it is a factor 3 faster to collect the measurements for the new estimator. Furthermore, the calculations needed for determining the new estimator are much simpler. LAY DESCRIPTION: A new method is described for estimating volume tensors in 3 dimensions based on the stereological method: planar rotator. In general, volume tensors may provide information about particle volume, shape and direction. The new estimator was implemented on human brain tissue for the analysis of neurons in layer III of the medial frontal gyrus on Brodmann Area 46 and compared to a previous published method, based on an optical rotator design. The new estimator shows similar precision as the earlier estimator, but it is a factor 3 faster to collect the measurements. Besides, the calculations behind the new estimator are simpler and easier to implement to a software program.
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Affiliation(s)
- Nick Y Larsen
- Centre for Stochastic Geometry and Advanced Bioimaging, Aarhus University, Aarhus, Denmark.,Core Centre for Molecular Morphology, Section for Stereology and Microscopy, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.,Sino-Danish Center for Education and Research (SDC), Aarhus, Denmark
| | - Johanna F Ziegel
- Centre for Stochastic Geometry and Advanced Bioimaging, Aarhus University, Aarhus, Denmark.,Institute of Mathematical Statistics and Actuarial Science, University of Bern, Bern, Switzerland
| | - Jens R Nyengaard
- Centre for Stochastic Geometry and Advanced Bioimaging, Aarhus University, Aarhus, Denmark.,Core Centre for Molecular Morphology, Section for Stereology and Microscopy, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.,Sino-Danish Center for Education and Research (SDC), Aarhus, Denmark
| | - Eva B Vedel Jensen
- Centre for Stochastic Geometry and Advanced Bioimaging, Aarhus University, Aarhus, Denmark.,Department of Mathematics, Aarhus University, Aarhus, Denmark
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