A universal approach to analyzing transmission electron microscopy with imagej

Jacob Lam; Prasanna Katti; Michelle Biete; Margaret Mungai; Salma Ashshareef; Kit Neikirk; Edgar Garza Lopez; Zer Vue; Trace A. Christensen; Heather K. Beasley; Taylor A. Rodman; Sandra A. Murray; Jeffrey L. Salisbury; Brian Glancy; Jianqiang Shao; Renata O. Pereira; E. Dale Abel; Antentor Hintonjr.

doi:10.3390/cells10092177

A universal approach to analyzing transmission electron microscopy with imagej

Jacob Lam, Prasanna Katti, Michelle Biete, Margaret Mungai, Salma Ashshareef, Kit Neikirk, Edgar Garza Lopez, Zer Vue, Trace A. Christensen, Heather K. Beasley, Taylor A. Rodman, Sandra A. Murray, Jeffrey L. Salisbury, Brian Glancy, Jianqiang Shao, Renata O. Pereira, E. Dale Abel, Antentor Hintonjr.

Biochemistry and Molecular Biology

Research output: Contribution to journal › Article › peer-review

Abstract

Transmission electron microscopy (TEM) is widely used as an imaging modality to provide high‐resolution details of subcellular components within cells and tissues. Mitochondria and endoplasmic reticulum (ER) are organelles of particular interest to those investigating metabolic disorders. A straightforward method for quantifying and characterizing particular aspects of these organelles would be a useful tool. In this protocol, we outline how to accurately assess the morphology of these important subcellular structures using open source software ImageJ, originally devel-oped by the National Institutes of Health (NIH). Specifically, we detail how to obtain mitochondrial length, width, area, and circularity, in addition to assessing cristae morphology and measuring mito/endoplasmic reticulum (ER) interactions. These procedures provide useful tools for quantifying and characterizing key features of sub‐cellular morphology, leading to accurate and reproduci-ble measurements and visualizations of mitochondria and ER.

Original language	English (US)
Article number	2177
Journal	Cells
Volume	10
Issue number	9
DOIs	https://doi.org/10.3390/cells10092177
State	Published - Sep 2021

Keywords

Cristae
Image J
Image analysis
Image processing
Mitochondria
Mitochondria endoplasmic reticulum contacts (MERCs)
TEM analysis
TEM quantification

ASJC Scopus subject areas

General Biochemistry, Genetics and Molecular Biology

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10.3390/cells10092177

Cite this

Lam, J., Katti, P., Biete, M., Mungai, M., Ashshareef, S., Neikirk, K., Lopez, E. G., Vue, Z., Christensen, T. A., Beasley, H. K., Rodman, T. A., Murray, S. A., Salisbury, J. L., Glancy, B., Shao, J., Pereira, R. O., Abel, E. D., & Hintonjr., A. (2021). A universal approach to analyzing transmission electron microscopy with imagej. Cells, 10(9), Article 2177. https://doi.org/10.3390/cells10092177

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title = "A universal approach to analyzing transmission electron microscopy with imagej",

abstract = "Transmission electron microscopy (TEM) is widely used as an imaging modality to provide high‐resolution details of subcellular components within cells and tissues. Mitochondria and endoplasmic reticulum (ER) are organelles of particular interest to those investigating metabolic disorders. A straightforward method for quantifying and characterizing particular aspects of these organelles would be a useful tool. In this protocol, we outline how to accurately assess the morphology of these important subcellular structures using open source software ImageJ, originally devel-oped by the National Institutes of Health (NIH). Specifically, we detail how to obtain mitochondrial length, width, area, and circularity, in addition to assessing cristae morphology and measuring mito/endoplasmic reticulum (ER) interactions. These procedures provide useful tools for quantifying and characterizing key features of sub‐cellular morphology, leading to accurate and reproduci-ble measurements and visualizations of mitochondria and ER.",

keywords = "Cristae, Image J, Image analysis, Image processing, Mitochondria, Mitochondria endoplasmic reticulum contacts (MERCs), TEM analysis, TEM quantification",

author = "Jacob Lam and Prasanna Katti and Michelle Biete and Margaret Mungai and Salma Ashshareef and Kit Neikirk and Lopez, {Edgar Garza} and Zer Vue and Christensen, {Trace A.} and Beasley, {Heather K.} and Rodman, {Taylor A.} and Murray, {Sandra A.} and Salisbury, {Jeffrey L.} and Brian Glancy and Jianqiang Shao and Pereira, {Renata O.} and Abel, {E. Dale} and Antentor Hintonjr.",

note = "Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2021",

month = sep,

doi = "10.3390/cells10092177",

language = "English (US)",

volume = "10",

journal = "Cells",

issn = "2073-4409",

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AU - Lam, Jacob

AU - Katti, Prasanna

AU - Biete, Michelle

AU - Mungai, Margaret

AU - Ashshareef, Salma

AU - Neikirk, Kit

AU - Lopez, Edgar Garza

AU - Vue, Zer

AU - Christensen, Trace A.

AU - Beasley, Heather K.

AU - Rodman, Taylor A.

AU - Murray, Sandra A.

AU - Salisbury, Jeffrey L.

AU - Glancy, Brian

AU - Shao, Jianqiang

AU - Pereira, Renata O.

AU - Abel, E. Dale

AU - Hintonjr., Antentor

PY - 2021/9

Y1 - 2021/9

N2 - Transmission electron microscopy (TEM) is widely used as an imaging modality to provide high‐resolution details of subcellular components within cells and tissues. Mitochondria and endoplasmic reticulum (ER) are organelles of particular interest to those investigating metabolic disorders. A straightforward method for quantifying and characterizing particular aspects of these organelles would be a useful tool. In this protocol, we outline how to accurately assess the morphology of these important subcellular structures using open source software ImageJ, originally devel-oped by the National Institutes of Health (NIH). Specifically, we detail how to obtain mitochondrial length, width, area, and circularity, in addition to assessing cristae morphology and measuring mito/endoplasmic reticulum (ER) interactions. These procedures provide useful tools for quantifying and characterizing key features of sub‐cellular morphology, leading to accurate and reproduci-ble measurements and visualizations of mitochondria and ER.

AB - Transmission electron microscopy (TEM) is widely used as an imaging modality to provide high‐resolution details of subcellular components within cells and tissues. Mitochondria and endoplasmic reticulum (ER) are organelles of particular interest to those investigating metabolic disorders. A straightforward method for quantifying and characterizing particular aspects of these organelles would be a useful tool. In this protocol, we outline how to accurately assess the morphology of these important subcellular structures using open source software ImageJ, originally devel-oped by the National Institutes of Health (NIH). Specifically, we detail how to obtain mitochondrial length, width, area, and circularity, in addition to assessing cristae morphology and measuring mito/endoplasmic reticulum (ER) interactions. These procedures provide useful tools for quantifying and characterizing key features of sub‐cellular morphology, leading to accurate and reproduci-ble measurements and visualizations of mitochondria and ER.

KW - Cristae

KW - Image J

KW - Image analysis

KW - Image processing

KW - Mitochondria

KW - Mitochondria endoplasmic reticulum contacts (MERCs)

KW - TEM analysis

KW - TEM quantification

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DO - 10.3390/cells10092177

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JO - Cells

JF - Cells

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A universal approach to analyzing transmission electron microscopy with imagej

Abstract

Keywords

ASJC Scopus subject areas

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