Literature DB >> 29469207

Evaluation of contrasting techniques for X-ray imaging of velvet worms (Onychophora).

Henry Jahn1, Ivo DE Sena Oliveira1,2, Vladimir Gross1, Christine Martin1, Alexander Hipp3, Georg Mayer1, Jörg U Hammel3,4.   

Abstract

Non-invasive imaging techniques like X-ray computed tomography have become very popular in zoology, as they allow for simultaneous imaging of the internal and external morphology of organisms. Nevertheless, the effect of different staining approaches required for this method on samples lacking mineralized tissues, such as soft-bodied invertebrates, remains understudied. Herein, we used synchrotron radiation-based X-ray micro-computed tomography to compare the effects of commonly used contrasting approaches on onychophorans - soft-bodied invertebrates important for studying animal evolution. Representatives of Euperipatoides rowelli were stained with osmium tetroxide (vapour or solution), ruthenium red, phosphotungstic acid, or iodine. Unstained specimens were imaged using both standard attenuation-based and differential phase-contrast setups to simulate analyses with museum material. Our comparative qualitative analyses of several tissue types demonstrate that osmium tetroxide provides the best overall tissue contrast in onychophorans, whereas the remaining staining agents rather favour the visualisation of specific tissues and/or structures. Quantitative analyses using signal-to-noise ratio measurements show that the level of image noise may vary according to the staining agent and scanning medium selected. Furthermore, box-and-whisker plots revealed substantial overlap in grey values among structures in all datasets, suggesting that a combination of semiautomatic and manual segmentation of structures is required for comprehensive 3D reconstructions of Onychophora, irrespective of the approach selected. Our results show that X-ray micro-computed tomography is a promising technique for studying onychophorans and, despite the benefits and disadvantages of different staining agents for specific tissues/structures, this method retrieves informative data that may eventually help address evolutionary questions long associated with Onychophora.
© 2018 The Authors Journal of Microscopy © 2018 Royal Microscopical Society.

Entities:  

Keywords:  3D imaging; Box plot analyses; SR-μCT; invertebrate morphology; quantitative analyses; soft tissue contrast

Mesh:

Substances:

Year:  2018        PMID: 29469207     DOI: 10.1111/jmi.12688

Source DB:  PubMed          Journal:  J Microsc        ISSN: 0022-2720            Impact factor:   1.758


  5 in total

Review 1.  X-ray computed tomography and its potential in ecological research: A review of studies and optimization of specimen preparation.

Authors:  Yeisson Gutiérrez; David Ott; Mareike Töpperwien; Tim Salditt; Christoph Scherber
Journal:  Ecol Evol       Date:  2018-07-06       Impact factor: 2.912

2.  X-ray imaging of a water bear offers a new look at tardigrade internal anatomy.

Authors:  Vladimir Gross; Mark Müller; Georg Mayer; Franz Pfeiffer; Lorenz Hehn; Simone Ferstl; Sebastian Allner; Martin Dierolf; Klaus Achterhold
Journal:  Zoological Lett       Date:  2019-05-11       Impact factor: 2.836

3.  Nucleus-specific X-ray stain for 3D virtual histology.

Authors:  Mark Müller; Melanie A Kimm; Simone Ferstl; Sebastian Allner; Klaus Achterhold; Julia Herzen; Franz Pfeiffer; Madleen Busse
Journal:  Sci Rep       Date:  2018-12-14       Impact factor: 4.379

Review 4.  Contrast-Enhanced MicroCT for Virtual 3D Anatomical Pathology of Biological Tissues: A Literature Review.

Authors:  Sébastien de Bournonville; Sarah Vangrunderbeeck; Greet Kerckhofs
Journal:  Contrast Media Mol Imaging       Date:  2019-02-28       Impact factor: 3.161

5.  Nanoscopic X-ray tomography for correlative microscopy of a small meiofaunal sea-cucumber.

Authors:  Simone Ferstl; Thomas Schwaha; Bernhard Ruthensteiner; Lorenz Hehn; Sebastian Allner; Mark Müller; Martin Dierolf; Klaus Achterhold; Franz Pfeiffer
Journal:  Sci Rep       Date:  2020-03-03       Impact factor: 4.379

  5 in total

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