Projects per year
Abstract
We explore the adaptation of existing photolithography technologies and introduce the potential for additional functionality in the form of structured light. By using a complementary metal oxide semiconductor (CMOS) controlled micropixellated light emitting diode (LED) array, features such as object recognition, tracking and characterization are possible in combination with photo-curing. We discuss the observed trade off between the delivered power density and resolution capability of the system due to the requirements of the additional features.
Original language | English |
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Number of pages | 4 |
Publication status | Published - 12 Dec 2018 |
Event | IEEE British and Irish Conference on Optics and Photonics - London, United Kingdom Duration: 12 Dec 2018 → 14 Dec 2018 https://ieeebicop.com/ |
Conference
Conference | IEEE British and Irish Conference on Optics and Photonics |
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Abbreviated title | BICOP 2018 |
Country/Territory | United Kingdom |
City | London |
Period | 12/12/18 → 14/12/18 |
Internet address |
Keywords
- photolithography
- complementary metal oxide semiconductor (CMOS)
- light emitting diode (LED)
- digital illumination
Fingerprint
Dive into the research topics of 'Digital illumination in microscale direct-writing photolithography: challenges and trade-off'. Together they form a unique fingerprint.Projects
- 2 Finished
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Light-controlled manufacturing of semiconductor structures: a platform for next generation processing of photonic devices
Martin, R., Dawson, M., Edwards, P., Skabara, P. & Watson, I.
EPSRC (Engineering and Physical Sciences Research Council)
1/07/17 → 31/07/22
Project: Research
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Doctoral Training Partnership (DTP 2016-2017 University of Strathclyde) | Stonehouse, Mark
Dawson, M., Gu, E. & Stonehouse, M.
EPSRC (Engineering and Physical Sciences Research Council)
1/10/16 → 9/12/21
Project: Research Studentship - Internally Allocated
Datasets
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Data for: "Bringing Digital Illumination to the Microscopic Scale: Challenges and Trade-Offs"
Stonehouse, M. (Creator), University of Strathclyde, 22 Jan 2019
DOI: 10.15129/9b7c92b3-f7ac-4be7-b0b5-ba31ac30c35c
Dataset