Large field-of-view non-invasive imaging through scattering layers using fluctuating random illumination

During my stay in Paris, one of the topics I have been working on is related to the problem of imaging objects hidden by scattering media. While seeing stuff through transparent materials is quite easy, the thing becomes much more complicated when light gets randomly deviated in all directions. This might seem quite a particular …

Sigue leyendo Large field-of-view non-invasive imaging through scattering layers using fluctuating random illumination

AI regulation, 3D displays, and more: THE WEEKLY RECAP (2022#19)

Summer is here! Temperatures on the rise (we almost reached 30ºC for a couple days), and rain seems to be over (not saying that too loud, I do not want to jinx it). Lots of interesting news this week, so let's get to it. A dinner with Myxomycetes Really nice macro photographies of slime moulds. …

Sigue leyendo AI regulation, 3D displays, and more: THE WEEKLY RECAP (2022#19)

Maus, the Pixel experience, and more: THE WEEKLY RECAP (2022#04)

I. Need. To. Sleep. Week. Has. Been. Ex. Haus. Ting. Fox only, no items, final destination A couple cool pieces on how mainstream video games have become. The one on FT goes along the huge amounts of money the industry has been generating during the last decades, overcoming other forms of cultural content such as …

Sigue leyendo Maus, the Pixel experience, and more: THE WEEKLY RECAP (2022#04)

Giga-voxel multidimensional fluorescence imaging combining single-pixel detection and data fusion

Data fusion concept. From Fig.1 in the manuscript. Do you want a 4D reconstruction? Just take several 2D/3D objects and merge them in a clever way. Some time ago I wrote a short post about using Data Fusion (DF) to perform some kind of Compressive Sensing (CS). We came with that idea when tackling a …

Sigue leyendo Giga-voxel multidimensional fluorescence imaging combining single-pixel detection and data fusion

Data fusion as a way to perform compressive sensing

Some time ago I started working on some kind of data fusion problem where we have access to several imaging systems working in parallel, each one gathering a different multidimensional dataset with mixed spectral, temporal, and/or spatial resolutions. The idea is to perform 4D imaging at high spectral, temporal, and spatial resolutions using some single-pixel/multi-pixel …

Sigue leyendo Data fusion as a way to perform compressive sensing

Inverse Scattering via Transmission Matrices: Broadband Illumination and Fast Phase Retrieval Algorithms

Interesting paper by people at Rice and Northwestern universities about different phase retrieval algorithms for measuring transmission matrices without using interferometric techniques. The thing with interferometers is that they provide you lots of cool stuff (high sensibility, phase information, etc.), but also involve quite a lot of technical problems that you do not want to …

Sigue leyendo Inverse Scattering via Transmission Matrices: Broadband Illumination and Fast Phase Retrieval Algorithms