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Schneider, P F, 424469
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/415636Surname: SCHNEIDER. Given Name(s) or Initials: P F. Military Service Number or Last Known Location: 424469. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 57628.236282
Item: [2016.0049.47897] "Schneider, P F, 424469
Bridging biological and preclinical imaging through 3D X-ray histology
No full textLiving structures are an intricate three- dimensional (3D) arrangement of cells and tissue matrix across many length scales. However, structural analysis of tissues, whether for research or diagnostic purposes, remains overwhelmingly bounded and constrained by microscopic examination of relatively sparse 2D tissue sections, providing only a snapshot from which 3D spatial relationships can only be inferred. Therefore, whilst 3D medical imaging is commonplace, microscopic tissue structure analysis (i.e., histology) remains overwhelmingly wedded to 200-year-old practices of microscopic 2D examination of tissue sections. We have demonstrated previously that X-ray imaging by micro-computed tomography (µCT) allows noninvasive 3D imaging of the microstructure of standard tissue biosies (Scott et al. 2015, doi:10.1371/journal.pone.0126230). This yields details comparable to two-dimensional (2D) optical microscope sections but for the whole tissue volume, which can for example overturn misconceptions of disease development based on 2D assessment. One exemplar is the pathogenesis of idiopathic pulmonary fibrosis (Jones et al. 2016, doi:10.1172/jci.insight.86375), where 3D structural insight into colocalisation of tissue features suggested previously unrecognised fibroblast foci plasticity. Based on this encouraging µCT results for soft tissues, in collaboration with an industrial partner, we developed a custom-design and soft-tissue optimised µCT scanner that can bridge the gap between biological and preclinical imaging (Katsamenis et al., doi:10.1016/j.ajpath.2019.05.004). Currently, we are establishing the foundations for routine 3D X-ray histology (http://www.xrayhistology.org), including new X-ray equipment and standardised & automated workflows and augmented sample throughput. Applicable to vast existing sample archives and a wide range of soft tissue types, the technology will open new research areas, such as large-scale 3D histological phenotyping (i.e., histomics). Computing and data handling power is now more than capable of handling the image resolutions and processing required for 3D µCT data analysis and X-ray histology workflows. Furthermore, 3D X-ray histology can translate directly into next-generation clinical image-based diagnostics and patient stratification using artificial intelligence and deep learning, and time-critical intraoperative 3D examination of tissue biopsies will become a realistic future target in this research programme. Here, we will present first results of our 3D X-ray histology approach and portray a vision, how highthroughput and non-destructive 3D histological assessment can offer new opportunities in basic biology, biomedical and translational research
Engineering, Medicine and Industry team up for technology development in biomedical imaging
No full textKeynote Lecture: Engineering meets medicine in biomedical imaging: laying the foundations for 3D X-ray histology
No full text3D X-ray histology: micro-CT goes medical
No full textBackground Living structures are an intricate three-dimensional (3D) arrangement of cells and tissue matrix across many length scales. Contemporary capabilities to quantify tissue architecture, connectivity and cell relationships are however fundamentally constrained by a lack of 3D analytical platforms with appropriate resolution, penetration, structural differentiation, consistency, volumetric analysis capability and sample throughput. Structural analysis of tissues, whether for research or diagnostic purposes, remains overwhelmingly bounded and constrained by microscopic examination of relatively sparse 2D tissue sections, providing only a snapshot from which 3D spatial relationships can only be inferred. Therefore, whilst 3D medical imaging is commonplace, microscopic tissue structure analysis (i.e., histology) remains overwhelmingly wedded to ~200-year-old practices of microscopic 2D examination of tissue sections. Recent advances We have demonstrated previously that X-ray imaging by micro-computed tomography (μCT) allows non-invasive 3D imaging of the microstructure of standard tissue biopsies [1]. This yields details comparable to two-dimensional (2D) optical microscope sections but for the whole tissue volume, which can for example overturn misconceptions of disease development based on 2D assessment. One exemplar is the pathogenesis of idiopathic pulmonary fibrosis [2], where 3D structural insight into co-localisation of tissue features and dysmorphia within substantive tissue volumes suggested previously unrecognised fibroblast foci plasticity. Based on this encouraging μCT results for soft tissues, in collaboration with an industrial partner, we developed a custom-design and soft-tissue optimised μCT scanner [3]. Currently, we are establishing the foundations for routine 3D X-ray histology [4], including new X-ray equipment and standardised & automated workflows, where sample throughput will be increased and scan times reduced, providing the foundations for day-to-day 3D X-ray histology. Future directions Applicable to vast existing sample archives and a wide range of soft tissue types including musculoskeletal tissues, the technology will open new research areas, such as large-scale 3D histological phenotyping (i.e., histomics). Furthermore, 3D X-ray histology can translate directly into next-generation clinical image-based diagnostics and patient stratification using artificial intelligence and deep learning, and time-critical intraoperative 3D examination of tissue biopsies will become a realistic future target in this research programme. Here, we will present first results of our 3D X-ray histology approach and portray a vision, how high-throughput and non-destructive 3D histological assessment can offer new opportunities in basic biomedical and translational research, following our ambition to provide a day-to-day imaging tool that complements and augments standard 2D histology
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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