» Articles » PMID: 32103752

X-ray Computed Tomography in Life Sciences

Overview
Journal BMC Biol
Publisher Biomed Central
Specialty Biology
Date 2020 Feb 28
PMID 32103752
Citations 46
Authors
Affiliations
Soon will be listed here.
Abstract

Recent developments within micro-computed tomography (μCT) imaging have combined to extend our capacity to image tissue in three (3D) and four (4D) dimensions at micron and sub-micron spatial resolutions, opening the way for virtual histology, live cell imaging, subcellular imaging and correlative microscopy. Pivotal to this has been the development of methods to extend the contrast achievable for soft tissue. Herein, we review the new capabilities within the field of life sciences imaging, and consider how future developments in this field could further benefit the life sciences community.

Citing Articles

Reduced Bone Quality of Sacrum and Lumbal Vertebrae Spongiosa in Toll-like Receptor 2- and Toll-like Receptor 4-Knockout Mice: A Blinded Micro-Computerized Analysis.

Roth K, Pallua J, Degenhart G, De Zordo T, Kremser C, Reif C Biomolecules. 2025; 15(2).

PMID: 40001542 PMC: 11853581. DOI: 10.3390/biom15020239.


X-ray-induced acoustic computed tomography: 3D X-ray absorption imaging from a single view.

Wang S, Pandey P, Lee G, van Bergen R, Sun L, Xu Y Sci Adv. 2024; 10(49):eads1584.

PMID: 39642225 PMC: 11627201. DOI: 10.1126/sciadv.ads1584.


Quantifying whole human hair scalp fibres of varying curl: A micro-computed tomographic study.

Berg C, Khumalo N, Ngoepe M J Microsc. 2024; 297(2):227-251.

PMID: 39564786 PMC: 11733847. DOI: 10.1111/jmi.13365.


Detailed three-dimensional analyses of tyloses in oak used for bourbon and wine barrels through X-ray computed tomography.

Kim D, Gollihue J, Poovathingal S, DeBolt S Sci Rep. 2024; 14(1):17044.

PMID: 39048642 PMC: 11269640. DOI: 10.1038/s41598-024-67298-x.


BEATS: BEAmline for synchrotron X-ray microTomography at SESAME.

Iori G, Alzubi M, Abbadi A, Al Momani Y, Hasoneh A, Van Vaerenbergh P J Synchrotron Radiat. 2024; 31(Pt 5):1358-1372.

PMID: 39007825 PMC: 11371053. DOI: 10.1107/S1600577524005277.


References
1.
Johnson T . Dual-energy CT: general principles. AJR Am J Roentgenol. 2012; 199(5 Suppl):S3-8. DOI: 10.2214/AJR.12.9116. View

2.
Chhour P, Naha P, ONeill S, Litt H, Reilly M, Ferrari V . Labeling monocytes with gold nanoparticles to track their recruitment in atherosclerosis with computed tomography. Biomaterials. 2016; 87:93-103. PMC: 4783300. DOI: 10.1016/j.biomaterials.2016.02.009. View

3.
Metscher B . MicroCT for comparative morphology: simple staining methods allow high-contrast 3D imaging of diverse non-mineralized animal tissues. BMC Physiol. 2009; 9:11. PMC: 2717911. DOI: 10.1186/1472-6793-9-11. View

4.
Bradley R, Withers P . Post-processing techniques for making reliable measurements from curve-skeletons. Comput Biol Med. 2016; 72:120-31. DOI: 10.1016/j.compbiomed.2016.03.008. View

5.
Epah J, Palfi K, Dienst F, Malacarne P, Bremer R, Salamon M . 3D Imaging and Quantitative Analysis of Vascular Networks: A Comparison of Ultramicroscopy and Micro-Computed Tomography. Theranostics. 2018; 8(8):2117-2133. PMC: 5928875. DOI: 10.7150/thno.22610. View