Realization of hybrid compressive imaging strategies

Recently I have been reading a lot about Compressive Sensing strategies. One of the things we always want when we work in a single-pixel architecture is to project the lowest possible number of masks, because the projecting process is the longest in all the acquisition procedure (and it gets longer and longer when you increase…More

Deep learning microscopy

This week a new paper by the group leaded by A. Ozcan appeared in Optica. Deep learning microscopy, Y. Ribenson et al, at Optica (featured image exctracted from Fig. 6 of the supplement) Abstract, We demonstrate that a deep neural network can significantly improve optical microscopy, enhancing its spatial resolution over a large field of view…More

Experimental comparison of single-pixel imaging algorithms

I just read on ArXiv.org that L. Bian and his colleagues made a cool comparison between several ways of performing single-pixel imaging. They have tested the performance on several recovery procedures, some quite familiar but others not so well stablished. I find both Table 1 and Fig. 7 extremely interesting. One sums up really well the…More