Foundations for routine 3D X-ray histology (360G-Wellcome-212940_Z_18_Z)
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. Building on our first demonstrated assessment of 3D microstructural detail in standard wax-embedded soft tissue (Scott et al., 2015, http://dx.doi.org/10.1371/journal.pone.0126230) we will develop the foundations for routine 3D X-ray histology by: Providing: Robust, non-destructive, high-throughput 3D microscopic imaging of routinely processed soft tissue samples at 5-10 µm resolution. Access to orders of magnitude more tissue structure data per sample (cf. optical sections). Tissue-level volumetric structure and connectivity insights (previously unavailable). Correlative 3D data supplementing other routine or specialist imaging (e.g. immunostaining, laser microdissection). Routes to novel medical and scientific discovery (Jones et al., 2016, http://dx.doi.org/10.1172/jci.insight.86375; Koo et al., 2018, in revision). Establishing: Hardware approaches to increased sample throughput. Standardised, automated workflows for image acquisition, calibration, CT reconstruction, data handling. Long-term roadmap for emerging X-ray technology improvements targeted for biomedical applications. Raising awareness/driving uptake through: Pilot studies (n~10 samples/study)/new applications validated by 2D histology and integrated with correlative imaging modalities. Biomedical case studies (n~100) at high statistical power. Data resources (n~100) for artificial intelligence and deep learning approaches in digital 3D histopathology.
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Grant Details
Amount Awarded | 1135071 |
Applicant Surname | Schneider |
Approval Committee | Biomedical Resource Committee |
Award Date | 2018-07-05T00:00:00+00:00 |
Financial Year | 2017/18 |
Grant Programme: Title | Technology Development Grant |
Internal ID | 212940/Z/18/Z |
Lead Applicant | Prof Philipp Schneider |
Other Applicant(s) | Dr Anton Page, Dr J Arjuna Ratnayaka, Prof Gareth Thomas, Prof Ian Sinclair, Prof Simon Cox |
Partnership Value | 1135071 |
Planned Dates: End Date | 2023-06-16T00:00:00+00:00 |
Planned Dates: Start Date | 2019-01-16T00:00:00+00:00 |
Recipient Org: Country | United Kingdom |
Region | South East |