Laser induced forward transfer imaging using deep learning
Abstract A novel approach for improving the accuracy and efficiency of laser-induced forward transfer (LIFT), through the application of deep learning techniques is presented. By training a neural network on a dataset of images of donor and receiver substrates, the appearance of copper droplets depo...
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| Main Authors: | James A. Grant-Jacob, Michalis N. Zervas, Ben Mills |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-03-01
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| Series: | Discover Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-025-06679-x |
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