Dataset in support of the article 'Laser induced forward transfer imaging using deep learning'

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.

Article to be published in Discover Applied Sciences