Tag Archives: Photonics

Simultaneous multiplane imaging with reverberation multiphoton microscopy

Really nice pre-print by the people at Boston University, leaded by J. Mertz. Love the idea of generating ~infinite focal spots (until you run out of photons) inside a sample, and using a extremely fast single-pixel detector to recover the signal. Very original way to tackle volumetric imaging in bio-imaging! Simultaneous multiplane imaging with reverberation multiphoton microscopy by Devin R.

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Compressive optical imaging with a photonic lantern

New single-pixel camera design, but this time using multicore fibers (MCF) and a photonic lantern instead of a spatial light modulator. Cool! The fundamental idea is to excite one of the cores of a MCF. Then, light propagates through the fiber, which has a photonic lantern at the tip that generates a random-like light pattern at its tip. Exciting different cores of the MCF generates different

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Wavefront correction in two-photon microscopy with a multi-actuator adaptive lens

The group leaded by P. Artal at Murcia University has recently published an interesting paper related to adaptive optics using an adaptive lens. When working in a real scenario, imperfections in the optical elements you use or just the objects you want to image introduce optical aberrations in the pictures you obtain. Usually these aberrations reduce the quality of your images

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Weekly recap (29/04/2018)

This week we have a lot of interesting stuff: Observing the cell in its native state: Imaging subcellular dynamics in multicellular organisms Adaptive Optics + Light Sheet Microscopy to see living cells inside the body of a Zebra fish (the favorite fish of biologists!). Really impressive images overcoming scattering caused by tissue. You can read more about the paper on

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The week in papers (22/04/18)

As a way to keep posts going, I am starting a short recap about interesting papers being published (or being discovered) every now and then. Probably I will write longer posts about some of them in the future. Let’s get this thing going: Two papers using ‘centroid estimation‘ to retrieve interesting information: Extract voice information using high-speed camera Mariko Akutsu, Yasuhiro

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