427 resultaten

10 november 2020

Malavika Manju Sudheer joined ImPhys as a PhD student

Malavika Manju Sudheer joined ImPhys as a PhD student

Malavika Manju Sudheer will be working on the project SYNOPTICS. This project aims to use all the properties of light; Amplitude, Phase, Polarisation and Wavelength to achieve ultimate performance in imaging and sensing device applications. Her supervisor is Silvania Pereira.

09 november 2020

An all-time high for far-infrared space exploration

An all-time high for far-infrared space exploration

Next year, a helium balloon the size of a soccer stadium will bring a NASA telescope to the edge of space. This project is called GUSTO, and it will help scientists understand galactic evolution by probing interstellar gas. Its most important payload are three detectors developed by Jian Rong Gao and his teams at TU Delft and SRON, without which the telescope would be blind as to its mission purpose.

04 november 2020

ImPhys MSc student Teun Huijben best Graduate of the Faculty of Applied Sciences

ImPhys MSc student Teun Huijben best Graduate of the Faculty of Applied Sciences

Seeing tiny particles even better through a microscope – student Teun Huijben managed it for his Master’s thesis. As well as a top mark, the breakthrough has also earned him the title Best Graduate of the Faculty of Applied Sciences.

04 november 2020

ImPhys PhD student Rick Waasdorp best Graduate of the Faculty of 3mE

ImPhys PhD student Rick Waasdorp best Graduate of the Faculty of 3mE

We know that the brain sends a muscle a message before it moves. But we are not entirely sure what happens next. Rick Waasdorp has come up with a swift, non-invasive technique for looking at exactly this. It is perfect for further research into muscular dystrophy.

29 oktober 2020

Research Jeroen Kalkman on Vermeer's Girl with a Pearl Earing in TU Delft stories

Research Jeroen Kalkman on Vermeer's Girl with a Pearl Earing in TU Delft stories

In 2018, Johannes Vermeer’s world-famous Girl with a Pearl Earring underwent a total ‘body scan’: using state-of-the-art techniques, the painting was studied in painstaking detail from top to bottom. It provided a wealth of new insights about the painting and the painter. Four TU Delft faculties worked on the project.

29 oktober 2020

TU lecturer also online popular

TU lecturer also online popular

Ron Haaksman, lecturer physics practical work & experiments has been interviewed by the local newspaper the "Delftse Post" about his work during covid times.

28 oktober 2020

Spotlight on Optics: "Convolutional neural network applied for nanoparticle classification using coherent scatterometry data"

Spotlight on Optics: "Convolutional neural network applied for nanoparticle classification using coherent scatterometry data"

This highlighted article from OSA journals addresses the important problem of "killer" particle detection and classification on wafers in semiconductor manufacturing. This is a challenging problem because the particles are generally sub-micrometer in size, and detection must be performed at high speed. The authors use a convolutional neural network to classify the particles to five classes: 80 nm, 60 nm, 50 nm, 40 nm and background.

26 oktober 2020

Romano Groeneveld joined ImPhys as a master student

Romano Groeneveld joined ImPhys as a master student

Romano Groeneveld will be working on his master thesis under supervision of Prof. Dr. Paul Urbach and in cooperation with eye surgeon N. Reus. He will conduct research in the field of optics in the human eye. More specifically, they are aiming to trace undesired side-effects in multi-focal intra-ocular lenses (multi-focal IOL’s) and try to solve these issues.

21 oktober 2020

Cover article on new technique for ultrafast electron microscopy

Cover article on new technique for ultrafast electron microscopy

Mathijs Garming, Pieter Kruit, and Jacob Hoogenboom (imaging physics) have published a paper in collaboration with Maarten Bolhuis and Sonia Conesa-Boj (quantum nanoscience) on a new technique for doing ultrafast scanning electron microscopy (USEM).

20 oktober 2020

New paper online: "Cramér-Rao lower bound and maximum-likelihood estimation in ptychography with Poisson noise"

New paper online: "Cramér-Rao lower bound and maximum-likelihood estimation in ptychography with Poisson noise"

Xukang Wei, H. Paul Urbach, and Wim M. J. Coene published a paper in the Physical Review A. They investigated the performance of ptychography with noisy data by analyzing the Cramér-Rao lower bound.

Agenda

Stay connected

Dit onderdeel wordt voor u geblokkeerd omdat het cookies bevat. Wilt u deze content (en anderen) alsnog bekijken? Door hier op te klikken geeft u alsnog toestemming voor het plaatsen van cookies.