19
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Direct jet coaxial electrospinning of axon‐mimicking fibers for diffusion tensor imaging

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Hollow polymer microfibers with variable microstructural and hydrophilic properties were proposed as building elements to create axon‐mimicking phantoms for validation of diffusion tensor imaging (DTI). The axon‐mimicking microfibers were fabricated in a mm‐thick 3D anisotropic fiber strip, by direct jet coaxial electrospinning of PCL/polysiloxane‐based surfactant (PSi) mixture as shell and polyethylene oxide (PEO) as core. Hydrophilic PCL‐PSi fiber strips were first obtained by carefully selecting appropriate solvents for the core and appropriate fiber collector rotating and transverse speeds. The porous cross‐section and anisotropic orientation of axon‐mimicking fibers were then quantitatively evaluated using two ImageJ plugins—nearest distance (ND) and directionality based on their scanning electron microscopy (SEM) images. Third, axon‐mimicking phantom was constructed from PCL‐PSi fiber strips with variable porous‐section and fiber orientation and tested on a 3T clinical MR scanner. The relationship between DTI measurements (mean diffusivity [MD] and fractional anisotropy [FA]) of phantom samples and their pore size and fiber orientation was investigated. Two key microstructural parameters of axon‐mimicking phantoms including normalized pore distance and dispersion of fiber orientation could well interpret the variations in DTI measurements. Two PCL‐PSi phantom samples made from different regions of the same fiber strips were found to have similar MD and FA values, indicating that the direct jet coaxial electrospun fiber strips had consistent microstructure. More importantly, the MD and FA values of the developed axon‐mimicking phantoms were mostly in the biologically relevant range.

          Related collections

          Most cited references46

          • Record: found
          • Abstract: found
          • Article: not found

          Near-field electrospinning.

          A near-field electrospinning (NFES) process has been developed to deposit solid nanofibers in a direct, continuous, and controllable manner. A tungsten electrode with tip diameter of 25 microm is used to construct nanofibers of 50-500 nm line width on silicon-based collectors while the liquid polymer solution is supplied in a manner analogous to that of a dip pen. The minimum applied bias voltage is 600 V, and minimum electrode-to-collector distance is 500 microm to achieve position controllable deposition. Charged nanofibers can be orderly collected, making NFES a potential tool in direct write nanofabrication for a variety of materials.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Imaging brain microstructure with diffusion MRI: practicality and applications

            This article gives an overview of microstructure imaging of the brain with diffusion MRI and reviews the state of the art. The microstructure-imaging paradigm aims to estimate and map microscopic properties of tissue using a model that links these properties to the voxel scale MR signal. Imaging techniques of this type are just starting to make the transition from the technical research domain to wide application in biomedical studies. We focus here on the practicalities of both implementing such techniques and using them in applications. Specifically, the article summarizes the relevant aspects of brain microanatomy and the range of diffusion-weighted MR measurements that provide sensitivity to them. It then reviews the evolution of mathematical and computational models that relate the diffusion MR signal to brain tissue microstructure, as well as the expanding areas of application. Next we focus on practicalities of designing a working microstructure imaging technique: model selection, experiment design, parameter estimation, validation, and the pipeline of development of this class of technique. The article concludes with some future perspectives on opportunities in this topic and expectations on how the field will evolve in the short-to-medium term.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found
              Is Open Access

              Coaxial Electrospinning Formation of Complex Polymer Fibers and their Applications

                Bookmark

                Author and article information

                Contributors
                fenglei.zhou@ucl.ac.uk
                Journal
                Polym Adv Technol
                Polym Adv Technol
                10.1002/(ISSN)1099-1581
                PAT
                Polymers for Advanced Technologies
                John Wiley & Sons, Ltd. (Chichester, UK )
                1042-7147
                1099-1581
                09 May 2023
                August 2023
                : 34
                : 8 ( doiID: 10.1002/pat.v34.8 )
                : 2573-2584
                Affiliations
                [ 1 ] College of Textiles and Clothing Qingdao University Qingdao China
                [ 2 ] Department of Computer Science University College London London UK
                [ 3 ] Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery University College London Hospitals NHS Foundation Trust London UK
                [ 4 ] Medical Research Council, London Institute of Medical Sciences Imperial College London London UK
                [ 5 ] College of Textile and Clothing Engineering Soochow University Suzhou China
                [ 6 ] Department of Radiology, Shandong Provincial Hospital, Cheeloo College of Medicine Shandong University Jinan China
                [ 7 ] School of Pharmacy University College London London UK
                [ 8 ] Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering University College London London UK
                [ 9 ] Bioxydyn Limited Manchester UK
                Author notes
                [*] [* ] Correspondence

                Feng‐Lei Zhou, College of Textiles and Clothing, Qingdao University, Qingdao, China.

                Email: fenglei.zhou@ 123456ucl.ac.uk

                Author information
                https://orcid.org/0000-0002-8348-4658
                Article
                PAT6073
                10.1002/pat.6073
                10946859
                38505514
                28795c18-b03a-465d-8904-e48e0185aa94
                © 2023 The Authors. Polymers for Advanced Technologies published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 01 April 2023
                : 08 February 2023
                : 16 April 2023
                Page count
                Figures: 6, Tables: 2, Pages: 12, Words: 8257
                Funding
                Funded by: EPSRC CMIC Pump‐Priming Award
                Award ID: EP/M020533/1
                Funded by: NIHR UCLH Biomedical Research Centre (BRC) grant
                Funded by: Taishan Scholar Foundation of Shandong, China
                Award ID: tsqn201909100
                Funded by: UK‐MRC ImagingBioPro grant
                Award ID: MR/R025673/1
                Funded by: The Major Program of Shandong Province Natural Science Foundation
                Award ID: ZR2020KE017
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                August 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.9 mode:remove_FC converted:18.03.2024

                axon microstructure,coaxial electrospinning,diffusion phantoms,diffusion tensor imaging,hollow microfibers

                Comments

                Comment on this article