Image Reconstruction at Scale: Challenges and Collaboration
4th of March 2025, 10:30 am
Downing College (Music Room), Cambridge, UK
This event brings together experts from astronomy, microscopy, and related fields to explore advances in large-scale image reconstruction. The primary goal is to foster collaboration within the ExCALIBUR network and the wider scientific community.
Key discussions will focus on designing solutions for large-scale image data reconstruction, tackling computational complexity and model uncertainty, and harnessing high-performance computing (HPC) to drive innovation.
Supported by the ExCALIBUR H&ES programme, this meeting aims to uncover new approaches and partnerships in large-scale image analysis.
Registration:
Please register by 21st of February 2025 https://forms.office.com/e/CWDnYmYjz9. A confirmation mail will follow.
Programme:
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10:00-10:30 |
Welcome coffee |
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10:30-12:00 |
Bogdan Toader |
MRC Laboratory of Molecular Biology |
Image Reconstruction in Light-Sheet Microscopy: Spatially Varying Deconvolution and Mixed Noise |
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Hao Jia |
PDN, University of Cambridge |
Investigating calcium-mediated invasiveness of neuroendocrine cancers using multi-module fluorescence imaging and whole-cell patch clamp |
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Xiaoyu Deng |
CAIC, University of Cambridge |
TVL1 Optical flow for microscopy |
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Chris Richardson |
IEEF, University of Cambridge |
Converting voxel data to a mesh for finite element computation - an example |
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12:00-13:00 |
Lunch |
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13:00-14:30 |
Jason McEwen |
UCL |
Towards learned exascale computational imaging for radio astronomy |
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Edoardo Pasca |
Science Technology Facilities Council |
Computational challenges in Tomographic Imaging, how could we harvest super computers (open question) |
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Anita Karsa |
University of Cambridge |
When One Size Doesn’t Fit All: Tackling Bespoke Challenges in Biological Image Analysis |
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Simon Clifford |
UIS, University of Cambridge |
Using DASK to denoise very large images |
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14:30-15:00 |
Coffee break |
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15:00-16:00 |
Zakhar Shumaylov |
DAMTP, University of Cambridge |
Enabling Large-Scale Benchmarking of Learned Reconstruction Algorithms for Computed Tomography with LION and 2DeteCT |
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Paul Quinn |
Ada Lovelace centre, Science Technology Facilities Council |
Imaging at the STFC large national facilities - Diamond, ISIS and CLF |
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Chris Edsall |
UIS, University of Cambridge |
TBC |
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16:00-16:30 |
Unconferencing |