Etiqueta: Image Reconstruction
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De-scattering with Excitation Patterning (DEEP) Enables Rapid Wide-field Imaging Through Scattering Media
Very interesting stuff from the people at MIT regarding imaging through scattering media. Recently, multiple approaches taking advantage of temporal focusing (TF) increased efficiency inside scattering media when using two-photon microscopy have been published, and this goes a step further. Here, the authors use wide-field structured illumination, in combination with TF, to obtain images with…
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Single-pixel imaging with sampling distributed over simplex vertices
Last week I posted a recently uploaded paper on using positive-only patterns in a single-pixel imaging system. Today I just found another implementation looking for the same objective. This time the authors (from University of Warsaw, leaded by Rafał Kotyński) introduce the idea of simplexes, or how any point in some N-dimensional space can be…
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Handling negative patterns for fast single-pixel lifetime imaging
A group of researchers working in France and USA, leaded by N. Ducros, has uploaded an interesting paper this week. When doing single-pixel imaging, one of the most important aspects you need to take into account is the kind of structured patters (functions) you are going to use. This is quite relevant because it is…
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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…
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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…