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Neutron imaging is an invaluable noninvasive technique for exploring new science and assisting industrial manufacture. However, state-of-the-art neutron facilities are extremely expensive and inconvenient to access, while the flux of portable neutron sources is not strong enough to form even a static image within an acceptable time frame. It is hard to obtain images with both high spatial resolution and energy resolution together. Here, based on classical amplitude modulation, we demonstrate single-pixel imaging with neutrons with specially designed masks and, further, obtain energy-selective images with a spallation neutron source. Images of real complex objects with 100 {\mu}m spatial resolution and 10 {\mu}s time resolution (corresponding to 0.4% at 1 {\AA}) have been obtained using a 3He single-pixel detector. Even when the neutron counts in the detector plane were lowered to 1000 per modulation pattern on average, a clear image was still obtained. The experimental setup is simple, inexpensive and easy to operate, thus our scheme points to a new path for neutron imaging, especially for portable radioactive neutron sources of low intensity, which should be of great benefit for diagnostic analysis in biology, materials science, and industrial processes.

X-ray "ghost" imaging has drawn great attention for its potential to lower radiation dose in medical diagnosis. For practical implementation, however, the efficiency and image quality have to be greatly improved. Here we demonstrate a computational ghost imaging scheme where a bucket detector and specially designed modulation masks are used, together with a new robust deep learning algorithm in which a compressed set of Hadamard matrices is incorporated into a multi-level wavelet convolutional neural network. By this means we have obtained an image of a real object from only 18.75% of the Nyquist sampling rate, using a portable tabletop incoherent x-ray source of ~37 {\mu}m diameter. A high imaging resolution of ~10 {\mu}m is achieved, which represents a concrete step towards the realization of a practical low cost x-ray ghost imaging camera for applications in biomedicine, archeology, material science, and so forth.

We present a robust imaging method based on time-correspondence imaging and normalized ghost imaging (GI) that sets two thresholds to select the reference frame exposures for image reconstruction. This double-threshold time-correspondence imaging protocol always gives better quality and signal-to-noise ratio than previous GI schemes, and is insensitive to surrounding noise. Moreover, only simple add and minus operations are required while less data storage space and computing time are consumed, thus faster imaging speeds are attainable. The protocol offers a general approach applicable to all GI techniques, and marks a further step forward towards real-time practical applications of correlation imaging., Comment: 6 pages, 4 figures To appear in Appl. Phys. Lett

Experimental data with digital masks and a theoretical analysis are presented for an imaging scheme that we call time-correspondence differential ghost imaging (TCDGI). It is shown that by conditional averaging of the information from the reference detector but with the negative signals inverted, the quality of the reconstructed images is in general superior to all other ghost imaging (GI) methods to date. The advantages of both differential GI and time-correspondence GI are combined, plus less data manipulation and shorter computation time are required to obtain equivalent quality images under the same conditions. This TCDGI method offers a general approach applicable to all GI techniques, especially when objects with continuous gray tones are involved., Comment: Title changed, and some corresponding modifications made. 5 pages, 5 figures