READ ME File For 'Dataset supporting the publciation "Laser induced forward transfer imaging using deep learning"'


ReadMe Author: James A Grant-Jacob  University of Southampton https://orcid.org/0000-0002-4270-4247

This dataset supports the publication:
AUTHORS: Ben Mills, Michalis N. Zervas and James A. Grant-Jacob
TITLE: Laser induced forward transfer imaging using deep learning
JOURNAL: Discover Applied Sciences
PAPER DOI IF KNOWN: 


This dataset contains:

Fig. 1 a) Side view of receiver and donor samples. b) Photograph of donor copper film with blank region where tape was used to hold sample in deposition chamber.

Fig. 2 	a) Laser pulses were focussed onto the surface of the donor substrate and copper was deposited onto a receiver. Following depositions, the samples were imaged using a separate Nikon microscope. b) Photograph of the setup with labels indicating key apparatus.

Fig. 3 Schematic concept of feeding the donor image into the neural network to produce an image of the receiver.

Fig 4. Diagram of the neural network for image generation.

Fig. 5 	Total generator loss as a function of neural network training iteration.

Fig. 6 Flowchart of deposition and image prediction process.

Fig. 7 	Predicting the appearance of the receiver from images of the donor for laser pulse fluence of a 5.4 Jcm-2, b 6.1 Jcm-2, c 6.5 Jcm-2 and d 7.1 Jcm-2, with size scales shown in white and SSIM values inset in yellow

Table 1 Laser specifications
Table 2 Microscope Basler camera specifications
Table 3 SSIM and RMSE values for the images shown in Fig. 7.



Licence: CC-BY

Related projects:
EPSRC grant EP/T026197/1
EPSRC grant EP/W028786/1
EPSRC grant  EP/Z002567/1
Date that the file was 03, 2025