Data underpinning: Learned deconvolution using physics priors for structured light-sheet microscopy

Philip Wijesinghe (Creator)
Stella Corsetti (Creator)
Darren Chow (Creator)
Shuzo Sakata (Creator)
Kylie Dunning (Creator)
Kishan Dholakia (Creator)

Dataset

Date made available	7 Jun 2021
Publisher	University of St Andrews
Date of data production	2021

Contact

[email protected]

DOI
10.17630/bf92bc18-0b81-41f7-bd44-d74040af7cf0

Access Dataset

PhysicsData.zip
File: multipart/x-zip, 31.6 MB
Type: Dataset
Licence: CC BY
RealTrainingData.zip
File: multipart/x-zip, 1.62 MB
Type: Dataset
Licence: CC BY
TrainedModels.zip
File: multipart/x-zip, 1.57 GB
Type: Dataset
Licence: CC BY
ExampleAiry1.zip
File: multipart/x-zip, 165 MB
Type: Dataset
Licence: CC BY
ExperimentalData.zip
File: multipart/x-zip, 2.45 GB
Type: Dataset
Licence: CC BY
README.md
File: application/octet-stream, 2.17 KB
Type: Dataset
Licence: CC BY

4 Finished

PROSCOPE: PROSCOPE
Dholakia, K. (PI)
Joint Research Centre European Commission
1/01/20 → 31/12/24
Project: Standard
H2020-FETOPEN-2018-2020. DynAMic: H2020-FETOPEN-2018-2020. DynAMic
Dholakia, K. (PI)
Joint Research Centre European Commission
1/01/20 → 31/12/23
Project: Standard
M Squared - USTAN Biophotonics Nexus: M Sqaured - St Andrews Biophotonics Nexus
Dholakia, K. (PI)
EPSRC
1/11/17 → 31/10/22
Project: Standard

1 Article

Experimentally unsupervised deconvolution for light-sheet microscopy with propagation-invariant beams
Wijesinghe, P., Corsetti, S., Chow, D. J. X., Sakata, S., Dunning, K. R. & Dholakia, K., 2 Nov 2022, In: Light: Science & Applications. 11, 15 p., 319.
Research output: Contribution to journal › Article › peer-review

Open Access
File

Cite this