Multiscale three-dimensional imaging of intact human organs down to the cellular scale using hierarchical phase-contrast tomography Article Swipe
YOU?
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· 2021
· Open Access
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· DOI: https://doi.org/10.1101/2021.02.03.429481
Human organs are complex, three-dimensional and multiscale systems. Spatially mapping the human body down through its hierarchy, from entire organs to their individual functional units and specialised cells, is a major obstacle to fully understanding health and disease. To meet this challenge, we developed hierarchical phase-contrast tomography (HiP-CT), an X-ray phase propagation technique utilising the European Synchrotron Radiation Facility’s Extremely Brilliant Source: the world’s first high-energy 4 th generation X-ray source. HiP-CT enabled three-dimensional and non-destructive imaging at near-micron resolution in soft tissues at one hundred thousand times the voxel size whilst maintaining the organ’s structure. We applied HiP-CT to image five intact human parenchymal organs: brain, lung, heart, kidney and spleen. These were hierarchically assessed with HiP-CT, providing a structural overview of the whole organ alongside detail of the organ’s individual functional units and cells. The potential applications of HiP-CT were demonstrated through quantification and morphometry of glomeruli in an intact human kidney, and identification of regional changes to the architecture of the air-tissue interface and alveolar morphology in the lung of a deceased COVID-19 patient. Overall, we show that HiP-CT is a powerful tool which can provide a comprehensive picture of structural information for whole intact human organs, encompassing precise details on functional units and their constituent cells to better understand human health and disease.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2021.02.03.429481
- https://www.biorxiv.org/content/biorxiv/early/2021/02/03/2021.02.03.429481.full.pdf
- OA Status
- green
- Cited By
- 9
- References
- 70
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3128321497
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3128321497Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2021.02.03.429481Digital Object Identifier
- Title
-
Multiscale three-dimensional imaging of intact human organs down to the cellular scale using hierarchical phase-contrast tomographyWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-02-03Full publication date if available
- Authors
-
Claire Walsh, Paul Tafforeau, Willi L. Wagner, Daniyal J. Jafree, Alexandre Bellier, Christopher Werlein, Mark Kühnel, Elodie Boller, Simon Walker‐Samuel, Jan Lukas Robertus, David A. Long, Joseph Jacob, Sebastian Marussi, Emmeline Brown, Natalie Holroyd, Danny Jonigk, Maximilian Ackermann, Peter LeeList of authors in order
- Landing page
-
https://doi.org/10.1101/2021.02.03.429481Publisher landing page
- PDF URL
-
https://www.biorxiv.org/content/biorxiv/early/2021/02/03/2021.02.03.429481.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://www.biorxiv.org/content/biorxiv/early/2021/02/03/2021.02.03.429481.full.pdfDirect OA link when available
- Concepts
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Voxel, Tomography, Radiology, Medicine, Pathology, Biomedical engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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9Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 2, 2022: 2, 2021: 5Per-year citation counts (last 5 years)
- References (count)
-
70Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.first | 65 |
| abstract_inverted_index.fully | 34 |
| abstract_inverted_index.human | 12, 104, 153, 199, 214 |
| abstract_inverted_index.image | 101 |
| abstract_inverted_index.lung, | 108 |
| abstract_inverted_index.major | 31 |
| abstract_inverted_index.organ | 126 |
| abstract_inverted_index.phase | 51 |
| abstract_inverted_index.their | 22, 208 |
| abstract_inverted_index.times | 88 |
| abstract_inverted_index.units | 25, 134, 206 |
| abstract_inverted_index.voxel | 90 |
| abstract_inverted_index.which | 187 |
| abstract_inverted_index.whole | 125, 197 |
| abstract_inverted_index.HiP-CT | 72, 99, 141, 182 |
| abstract_inverted_index.better | 212 |
| abstract_inverted_index.brain, | 107 |
| abstract_inverted_index.cells, | 28 |
| abstract_inverted_index.cells. | 136 |
| abstract_inverted_index.detail | 128 |
| abstract_inverted_index.entire | 19 |
| abstract_inverted_index.health | 36, 215 |
| abstract_inverted_index.heart, | 109 |
| abstract_inverted_index.intact | 103, 152, 198 |
| abstract_inverted_index.kidney | 110 |
| abstract_inverted_index.organs | 2, 20 |
| abstract_inverted_index.whilst | 92 |
| abstract_inverted_index.HiP-CT, | 118 |
| abstract_inverted_index.Source: | 62 |
| abstract_inverted_index.applied | 98 |
| abstract_inverted_index.changes | 159 |
| abstract_inverted_index.details | 203 |
| abstract_inverted_index.enabled | 73 |
| abstract_inverted_index.hundred | 86 |
| abstract_inverted_index.imaging | 77 |
| abstract_inverted_index.kidney, | 154 |
| abstract_inverted_index.mapping | 10 |
| abstract_inverted_index.organs, | 200 |
| abstract_inverted_index.organs: | 106 |
| abstract_inverted_index.picture | 192 |
| abstract_inverted_index.precise | 202 |
| abstract_inverted_index.provide | 189 |
| abstract_inverted_index.source. | 71 |
| abstract_inverted_index.spleen. | 112 |
| abstract_inverted_index.through | 15, 144 |
| abstract_inverted_index.tissues | 83 |
| abstract_inverted_index.ABSTRACT | 0 |
| abstract_inverted_index.COVID-19 | 176 |
| abstract_inverted_index.European | 56 |
| abstract_inverted_index.Overall, | 178 |
| abstract_inverted_index.alveolar | 168 |
| abstract_inverted_index.assessed | 116 |
| abstract_inverted_index.complex, | 4 |
| abstract_inverted_index.deceased | 175 |
| abstract_inverted_index.disease. | 38, 217 |
| abstract_inverted_index.obstacle | 32 |
| abstract_inverted_index.overview | 122 |
| abstract_inverted_index.patient. | 177 |
| abstract_inverted_index.powerful | 185 |
| abstract_inverted_index.regional | 158 |
| abstract_inverted_index.systems. | 8 |
| abstract_inverted_index.thousand | 87 |
| abstract_inverted_index.(HiP-CT), | 48 |
| abstract_inverted_index.Brilliant | 61 |
| abstract_inverted_index.Extremely | 60 |
| abstract_inverted_index.Radiation | 58 |
| abstract_inverted_index.Spatially | 9 |
| abstract_inverted_index.alongside | 127 |
| abstract_inverted_index.developed | 44 |
| abstract_inverted_index.glomeruli | 149 |
| abstract_inverted_index.interface | 166 |
| abstract_inverted_index.organ’s | 95, 131 |
| abstract_inverted_index.potential | 138 |
| abstract_inverted_index.providing | 119 |
| abstract_inverted_index.technique | 53 |
| abstract_inverted_index.utilising | 54 |
| abstract_inverted_index.world’s | 64 |
| abstract_inverted_index.air-tissue | 165 |
| abstract_inverted_index.challenge, | 42 |
| abstract_inverted_index.functional | 24, 133, 205 |
| abstract_inverted_index.generation | 69 |
| abstract_inverted_index.hierarchy, | 17 |
| abstract_inverted_index.individual | 23, 132 |
| abstract_inverted_index.morphology | 169 |
| abstract_inverted_index.multiscale | 7 |
| abstract_inverted_index.resolution | 80 |
| abstract_inverted_index.structural | 121, 194 |
| abstract_inverted_index.structure. | 96 |
| abstract_inverted_index.tomography | 47 |
| abstract_inverted_index.understand | 213 |
| abstract_inverted_index.Synchrotron | 57 |
| abstract_inverted_index.constituent | 209 |
| abstract_inverted_index.high-energy | 66 |
| abstract_inverted_index.information | 195 |
| abstract_inverted_index.maintaining | 93 |
| abstract_inverted_index.morphometry | 147 |
| abstract_inverted_index.near-micron | 79 |
| abstract_inverted_index.parenchymal | 105 |
| abstract_inverted_index.propagation | 52 |
| abstract_inverted_index.specialised | 27 |
| abstract_inverted_index.Facility’s | 59 |
| abstract_inverted_index.applications | 139 |
| abstract_inverted_index.architecture | 162 |
| abstract_inverted_index.demonstrated | 143 |
| abstract_inverted_index.encompassing | 201 |
| abstract_inverted_index.hierarchical | 45 |
| abstract_inverted_index.comprehensive | 191 |
| abstract_inverted_index.understanding | 35 |
| abstract_inverted_index.hierarchically | 115 |
| abstract_inverted_index.identification | 156 |
| abstract_inverted_index.phase-contrast | 46 |
| abstract_inverted_index.quantification | 145 |
| abstract_inverted_index.non-destructive | 76 |
| abstract_inverted_index.three-dimensional | 5, 74 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 94 |
| corresponding_author_ids | https://openalex.org/A5100354178, https://openalex.org/A5068639127, https://openalex.org/A5086646925 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 18 |
| corresponding_institution_ids | https://openalex.org/I197323543, https://openalex.org/I34809795, https://openalex.org/I4210094062, https://openalex.org/I4210129183, https://openalex.org/I45129253 |
| citation_normalized_percentile.value | 0.8887018 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |