Year 2020, Volume 8 , Issue 2, Pages 1484 - 1502 2020-04-30

Optimization of KI as X-Ray Computed Microtomography Contrast Agents for Murine and Chicken Epidermal Tissues Applications

Mümin Mehmet KOÇ [1]


X-ray computed tomography (CT) vastly used in many different applications in different fields such as materials science, medical science, entomology, anatomy, marine sciences. Since the X-ray is highly penetrable, 3D image of almost any material can be achieved by CT. The high quality image of the materials, which compose in different types of atoms, can easily be achieved. However, obtain the high quality images of the materials which has similar types of atoms or relatively soft structure becomes a problem. Scientists investigating the soft tissues such as flesh, muscle, cartilage or animals in soft structure suffer from this problem. At this point, staining procedures, treating materials with contrast agents help the researcher to enhance the image quality. In this work, optimisation of KI based staining to obtain enhanced image quality in CT imaging of murine and chicken dermal tissues were studied. Results indicate that overstaining or staining the tissues in less concentration significantly affects the quality of the obtained CT images.

Computed Tomography, Skin, Phase Contrast Imaging, Absorption Imaging, Staining, Soft Tissue
  • [1] L. Bragg, “X-ray crystallography.,” Sci. Am., vol. 219, no. 1, pp. 58–70, 1968.
  • [2] S. W. Wilkins, T. E. Gureyev, D. Gao, A. Pogany, and A. W. Stevenson, “Phase-contrast imaging using polychromatic hard X-rays,” Nature, vol. 384, no. 6607, pp. 335–338, 1996.
  • [3] U. Bonse and M. Hart, “An x-ray interferometer with long separated interfering beam paths,” Appl. Phys. Lett., vol. 7, no. 4, pp. 99–100, 1965.
  • [4] M. M. Koç, N. Aslan, A. P. Kao, and A. H. Barber, “Evaluation of X‐ray tomography contrast agents: A review of production, protocols, and biological applications,” Microsc. Res. Tech., vol. 82, no. 6, pp. 812–848, Jun. 2019.
  • [5] J. Baruchel, J. Buffiere, and E. Maire, X-ray tomography in material science. Paris: Hermes science publications, 2000.
  • [6] C. Liguori et al., “Emerging clinical applications of computed tomography.,” Med. Devices (Auckl)., vol. 8, pp. 265–78, 2015.
  • [7] R. Johnston, S. Leiboff, and M. J. Scanlon, “Ontogeny of the sheathing leaf base in maize (Zea mays),” New Phytol., vol. 205, no. 1, pp. 306–315, 2015.
  • [8] B. D. Metscher, “Micro CT for comparative morphology: Simple staining methods allow high-contrast 3D imaging of diverse non-mineralized animal tissues,” BMC Physiol., vol. 9, no. 1, 2009.
  • [9] B. D. Metscher, “MicroCT for developmental biology: A versatile tool for high-contrast 3D imaging at histological resolutions,” Dev. Dyn., vol. 238, no. 3, pp. 632–640, 2009.
  • [10] S. Faulwetter, T. Dailianis, A. Vasileiadou, and C. Arvanitidis, “Investigation of contrast enhancing techniques for the application of Micro-CT in marine biodiversity studies,” Microsc. Anal., vol. 27, no. March, pp. 12–21, 2013.
  • [11] E. C. McCullough and J. T. Payne, “Patient Dosage in Computed Tomography,” Radiology, vol. 129, no. 2, pp. 457–463, Nov. 1978.
  • [12] Y. Zhao, E. Brun, P. Coan, and Z. Huang, “High-resolution, low-dose phase contrast X-ray tomography for 3D diagnosis of human breast cancers,” Proc. Natl. Acad. Sci., vol. 45, no. 109, pp. 18290–18294, 2012.
  • [13] E. Landis and D. K. characterization, “X-ray microtomography,” Mater. Charact., vol. 12, no. 61, pp. 1305–1316, 2010.
  • [14] D. R. Baker et al., “An introduction to the application of X-ray microtomography to the three-dimensional study of igneous rocks,” Lithos, vol. 148. pp. 262–276, 2012.
  • [15] Y. M. Y. Staedler et al., “Novel computed tomography-based tools reliably quantify plant reproductive investment,” J. Exp. Bot., vol. 69, no. 3, pp. 525–535, 2018.
  • [16] S. R. Tracy, J. F. Gómez, C. J. Sturrock, Z. A. Wilson, and A. C. Ferguson, “Non-destructive determination of floral staging in cereals using X-ray micro computed tomography (µCT),” Plant Methods, vol. 13, no. 1, p. 9, Dec. 2017.
  • [17] P. Swart et al., “A quantitative comparison of micro-CT preparations in Dipteran flies,” Sci. Rep., vol. 6, p. 39380, 2016.
  • [18] D. D. B. Smith et al., “Exploring miniature insect brains using micro-CT scanning techniques,” Sci. Rep., vol. 6, p. 21768, 2016.
  • [19] R. Balint, T. Lowe, and T. Shearer, “Optimal contrast agent staining of ligaments and tendons for X-ray computed tomography,” PLoS One, vol. 11, no. 4, p. e0153552, Apr. 2016.
  • [20] P. J. Dunmore-Buyze et al., “Three-dimensional imaging of the mouse heart and vasculature using micro-CT and whole-body perfusion of iodine or phosphotungstic acid,” Contrast Media Mol. Imaging, vol. 9, no. 5, pp. 383–390, Sep. 2014.
  • [21] P. Das Neves Borges et al., “Rapid, automated imaging of mouse articular cartilage by microCT for early detection of osteoarthritis and finite element modelling of joint mechanics,” Osteoarthr. Cartil., vol. 22, no. 10, pp. 1419–1428, 2014.
  • [22] F. Bribiesca-Contreras and W. I. Sellers, “Three-dimensional visualisation of the internal anatomy of the sparrowhawk Accipiter nisus forelimb using contrast-enhanced micro-computed tomography,” PeerJ, vol. 5, p. 3039, 2017.
  • [23] B. D. Metscher, “X-ray microtomographic imaging of intact vertebrate embryos,” Cold Spring Harb. Protoc., vol. 6, no. 12, pp. 1462–1471, 2011.
  • [24] B. D. Metscher, “Biological applications of X-ray microtomography: imaging micro- anatomy, molecular expression and organismal diversity,” Microsc. Anal., vol. 27, no. 2, pp. 13–16, 2013.
  • [25] A. Kerbl et al., “Micro-CT in cephalopod research: Investigating the internal anatomy of a sepiolid squid using a non-destructive technique with special focus on the ganglionic system,” J. Exp. Mar. Bio. Ecol., vol. 447, no. 44, pp. 140–148, 2013.
  • [26] E. Descamps et al., “Soft tissue discrimination with contrast agents using micro-ct scanning,” Belgian J. Zool., vol. 144, no. 1, 2014.
  • [27] H. J. Nieminen et al., “Determining collagen distribution in articular cartilage using contrast-enhanced micro-computed tomography,” Osteoarthr. Cartil., vol. 23, no. 9, pp. 1613–1621, 2015.
  • [28] M. Ruan, B. Dawson, M.-M. Jiang, F. Gannon, M. Heggeness, and B. Lee, “Quantitative imaging of murine osteoarthritic cartilage by phase contrast micro-computed tomography.,” Arthritis Rheum., vol. 65, no. 2, pp. 388–396, 2012.
  • [29] K. Kupczik et al., “Reconstruction of muscle fascicle architecture from iodine-enhanced microCT images: A combined texture mapping and streamline approach,” J. Theor. Biol., vol. 382, no. 382, pp. 34–43, 2015.
  • [30] J. Lee and O. Lee, “Usefulness of hard X-ray microscope using synchrotron radiation for the structure analysis of insects,” Microsc. Res. Tech., vol. 81, no. 3, pp. 292–297, Mar. 2018.
  • [31] A. Momose, T. Takeda, Y. Itai, and K. Hirako, “Phase-contrast X-ray computed tomography for observing biological soft tissues,” Nat. Med., vol. 2, no. 4, pp. 473–475, 1996.
  • [32] E. PAUWELS, D. VAN LOO, P. Cornillie, L. Brabant, and L. VAN HOOREBEKE, “An exploratory study of contrast agents for soft tissue visualization by means of high resolution X-ray computed tomography imaging,” J. Microsc., vol. 250, no. 1, pp. 21–31, Apr. 2013.
  • [33] I. I. Kim, M. S. M. S. Kim, Y. R. Y. R. Chen, and S. G. S. G. Kong, “Detection of skin tumors on chicken carcasses using Hyperspectral Fluorescence Imaging,” Trans. ASAE, vol. 47, no. 5, pp. 1785–1792, 2004.
  • [34] S. Andersson-Engels et al., “Preliminary evaluation of two fluorescence imaging methods for the detection and the delineation of basal cell carcinomas of the skin.,” Lasers Surg. Med., vol. 26, no. 1, pp. 76–82, 2000.
  • [35] E. Z. Zhang et al., “Multimodal photoacoustic and optical coherence tomography scanner using an all optical detection scheme for 3D morphological skin imaging,” Biomed. Opt. Express, vol. 2, no. 8, p. 2202, 2011.
  • [36] J.-T. Oh, M.-L. Li, H. F. Zhang, K. Maslov, G. Stoica, and L. V. Wang, “Three-dimensional imaging of skin melanoma in vivo by dual-wavelength photoacoustic microscopy,” J. Biomed. Opt., vol. 11, no. 3, p. 034032, 2006.
  • [37] J. M. Schmitt, M. J. Yadlowsky, and R. . Bonner, “Subsurface Imaging of Living Skin with Optical Coherence Microscopy,” Dermatology, vol. 191, pp. 93–98, 1995.
  • [38] R. M. Lavker, P. S. Zheng, and G. Dong, “Aged skin: a study by light, transmission electron, and scanning electron microscopy.,” J. Invest. Dermatol., vol. 88, no. 3 Suppl, pp. 44s-51s, 1987.
  • [39] S. Neerken, G. W. Lucassen, M. A. Bisschop, E. Lenderink, and T. (A. M. . Nuijs, “Characterization of age-related effects in human skin: A comparative study that applies confocal laser scanning microscopy and optical coherence tomography,” J. Biomed. Opt., vol. 9, no. 2, p. 274, 2004.
  • [40] I. Brody, “The keratinization of epidermal cells of normal guinea pig skin as revealed by electron microscopy,” J. Ultrasructure Res., vol. 2, no. 4, pp. 482–511, 1959.
  • [41] A. Kao, J. Connelly, and A. B. of, “3D nanomechanical evaluations of dermal structures in skin,” J. Mech. Behav. Biomed. Mater., vol. 57, pp. 14–23, 2016.
  • [42] A. Kao, “Spatial Mechanical Behaviour of Skin,” Queen Mary University of London, 2016.
  • [43] K. M. Braun, C. Niemann, U. B. Jensen, J. P. Sundberg, V. Silva-Vargas, and F. M. Watt, “Manipulation of stem cell proliferation and lineage commitment: Visualisation of label-retaining cells in wholemounts of mouse epidermis,” Development, vol. 130, no. 21, pp. 5241–5255, Nov. 2003.
  • [44] S. Handschuh, C. J. Beisser, B. Ruthensteiner, and B. D. Metscher, “Microscopic dual-energy CT (microDECT): a flexible tool for multichannel ex vivo 3D imaging of biological specimens,” J. Microsc., vol. 267, no. 1, pp. 3–26, Jul. 2017.
  • [45] P. Vickerton, J. Jarvis, and N. Jeffery, “Concentration-dependent specimen shrinkage in iodine-enhanced microCT,” J. Anat., vol. 223, no. 2, pp. 185–193, Aug. 2013.
Primary Language en
Subjects Engineering
Journal Section Articles
Authors

Orcid: 0000-0003-4500-0373
Author: Mümin Mehmet KOÇ (Primary Author)
Institution: KIRKLARELİ ÜNİVERSİTESİ, SAĞLIK HİZMETLERİ MESLEK YÜKSEKOKULU
Country: Turkey


Dates

Publication Date : April 30, 2020

Bibtex @research article { dubited641594, journal = {Düzce Üniversitesi Bilim ve Teknoloji Dergisi}, issn = {}, eissn = {2148-2446}, address = {}, publisher = {Duzce University}, year = {2020}, volume = {8}, pages = {1484 - 1502}, doi = {10.29130/dubited.641594}, title = {Optimization of KI as X-Ray Computed Microtomography Contrast Agents for Murine and Chicken Epidermal Tissues Applications}, key = {cite}, author = {Koç, Mümin Mehmet} }
APA Koç, M . (2020). Optimization of KI as X-Ray Computed Microtomography Contrast Agents for Murine and Chicken Epidermal Tissues Applications . Düzce Üniversitesi Bilim ve Teknoloji Dergisi , 8 (2) , 1484-1502 . DOI: 10.29130/dubited.641594
MLA Koç, M . "Optimization of KI as X-Ray Computed Microtomography Contrast Agents for Murine and Chicken Epidermal Tissues Applications" . Düzce Üniversitesi Bilim ve Teknoloji Dergisi 8 (2020 ): 1484-1502 <https://dergipark.org.tr/en/pub/dubited/issue/55096/641594>
Chicago Koç, M . "Optimization of KI as X-Ray Computed Microtomography Contrast Agents for Murine and Chicken Epidermal Tissues Applications". Düzce Üniversitesi Bilim ve Teknoloji Dergisi 8 (2020 ): 1484-1502
RIS TY - JOUR T1 - Optimization of KI as X-Ray Computed Microtomography Contrast Agents for Murine and Chicken Epidermal Tissues Applications AU - Mümin Mehmet Koç Y1 - 2020 PY - 2020 N1 - doi: 10.29130/dubited.641594 DO - 10.29130/dubited.641594 T2 - Düzce Üniversitesi Bilim ve Teknoloji Dergisi JF - Journal JO - JOR SP - 1484 EP - 1502 VL - 8 IS - 2 SN - -2148-2446 M3 - doi: 10.29130/dubited.641594 UR - https://doi.org/10.29130/dubited.641594 Y2 - 2020 ER -
EndNote %0 Düzce Üniversitesi Bilim ve Teknoloji Dergisi Optimization of KI as X-Ray Computed Microtomography Contrast Agents for Murine and Chicken Epidermal Tissues Applications %A Mümin Mehmet Koç %T Optimization of KI as X-Ray Computed Microtomography Contrast Agents for Murine and Chicken Epidermal Tissues Applications %D 2020 %J Düzce Üniversitesi Bilim ve Teknoloji Dergisi %P -2148-2446 %V 8 %N 2 %R doi: 10.29130/dubited.641594 %U 10.29130/dubited.641594
ISNAD Koç, Mümin Mehmet . "Optimization of KI as X-Ray Computed Microtomography Contrast Agents for Murine and Chicken Epidermal Tissues Applications". Düzce Üniversitesi Bilim ve Teknoloji Dergisi 8 / 2 (April 2020): 1484-1502 . https://doi.org/10.29130/dubited.641594
AMA Koç M . Optimization of KI as X-Ray Computed Microtomography Contrast Agents for Murine and Chicken Epidermal Tissues Applications. DÜBİTED. 2020; 8(2): 1484-1502.
Vancouver Koç M . Optimization of KI as X-Ray Computed Microtomography Contrast Agents for Murine and Chicken Epidermal Tissues Applications. Düzce Üniversitesi Bilim ve Teknoloji Dergisi. 2020; 8(2): 1484-1502.