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

Abstract

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

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