Generating synthetic microscope images of pollen using latent space
Generating synthetic microscope images of pollen using latent space
The architectures of pollen grains have evolved due to environmental and ecological factors. We use style transfer, a deep learning technique, to generate new synthetic images of microscope images of pollen grains to help understand their structure and gain insights into botanic adaptive strategies. The ability to create synthetic image via deep learning expands our capacity to study various pollen types, enhancing our understanding of plant evolution and ecology, with potential impact in agriculture, botany, climate science and sustainability
Grant-Jacob, James A.
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Zervas, Michalis
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Mills, Ben
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Grant-Jacob, James A.
c5d144d8-3c43-4195-8e80-edd96bfda91b
Zervas, Michalis
1840a474-dd50-4a55-ab74-6f086aa3f701
Mills, Ben
05f1886e-96ef-420f-b856-4115f4ab36d0
Grant-Jacob, James A., Zervas, Michalis and Mills, Ben
(2024)
Generating synthetic microscope images of pollen using latent space.
Southampton Imaging Conference | Imaging Across Scales – from Molecules to Humans, University of Southampton, Southampton, United Kingdom.
12 - 13 Jun 2024.
1 pp
.
(In Press)
Record type:
Conference or Workshop Item
(Other)
Abstract
The architectures of pollen grains have evolved due to environmental and ecological factors. We use style transfer, a deep learning technique, to generate new synthetic images of microscope images of pollen grains to help understand their structure and gain insights into botanic adaptive strategies. The ability to create synthetic image via deep learning expands our capacity to study various pollen types, enhancing our understanding of plant evolution and ecology, with potential impact in agriculture, botany, climate science and sustainability
Text
Southampton Imaging Conference Abstract 25032024
- Accepted Manuscript
More information
Accepted/In Press date: 12 June 2024
Venue - Dates:
Southampton Imaging Conference | Imaging Across Scales – from Molecules to Humans, University of Southampton, Southampton, United Kingdom, 2024-06-12 - 2024-06-13
Identifiers
Local EPrints ID: 491520
URI: http://eprints.soton.ac.uk/id/eprint/491520
PURE UUID: 12fd14b2-90b1-477e-83cd-44c88b090f8d
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Date deposited: 25 Jun 2024 16:58
Last modified: 26 Jun 2024 01:43
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Contributors
Author:
James A. Grant-Jacob
Author:
Michalis Zervas
Author:
Ben Mills
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