The Department of Imaging Physics (ImPhys) focuses on developing novel, sometimes revolutionary, instruments and imaging technologies. These research products extend existing boundaries in terms of spatial resolution, temporal resolution, and information/data throughput. We are pioneers in developing advanced concepts of computational imaging, a marriage between cleverly designed imaging systems and sophisticated post-processing.
ImPhys’s profile encompasses a mix of science, engineering and design. While the spectrum of imaging physics is very broad, we focus on a few key fields where we generate impact: Life sciences, Healthcare and High tech industry.
The Department of Imaging Physics (ImPhys) focuses on developing novel, sometimes revolutionary, instruments and imaging technologies.
These research products extend existing boundaries in terms of spatial resolution, temporal resolution, and information/data throughput. We are pioneers in developing advanced concepts of computational imaging, a marriage between cleverly designed imaging systems and sophisticated post-processing.
30 November 2021
Bart de Koning joined ImPhys as MSc student
Bart de Koning will join ImPhys per December 1st, 2021. He is a MSc student in Applied Mathematics and Bart will be doing his master thesis under supervision of Aurèle Adam. He will be designing freeform optics for multiple source illumination with AI.
29 November 2021
Young Scientists on stage
Martijn Nagtegaal, PhD student @ImPhys participated in the "Hoezo? Show!". The Hoe?Zo! Show is an interactive science game show in which young scientists answer questions from curious children live on stage in a race against time. Will the scientists be able to answer children's questions quickly enough? Or do the children's questions prove too difficult for these clever minds?
How to find structurally different molecules before they disappear in the average?
Particle fusion for single molecule localization microscopy improves signal-to-noise ratio and overcomes underlabeling, but ignores structural heterogeneity or conformational variability. This study presents a-priori knowledge-free unsupervised classification of structurally different particles employing the Bhattacharya cost function as dissimilarity metric.
The impact of noise on Structured Illumination Microscopy image reconstructions
Super-resolution structured illumination microscopy (SIM) has become a widely used method for biological imaging. Standard reconstruction algorithms, however, are prone to generate noise-specific artifacts that limit their applicability for lower signal-to-noise data. Here we present a physically realistic noise model that explains the structured noise artifact, which we then use to motivate new complementary reconstruction approaches.
A new tool to understand the brain
How does our brain work? An international team of researchers, including lead author Daan Brinks of TU Delft, has taken another step towards answering that question. They have created a new tool that allows them to image electrical signals in brains with an unprecedented combination of precision, resolution, sensitivity, and depth.
Researchers make 3D image with light microscope
For the first time, Delft researchers have succeeded in making a three-dimensional image of a cellular component using light. The component in question is the nuclear pore complex: tunnels that facilitate traffic to and from the cell nucleus. Studying cell components in 3D can help to determine the cause of various diseases, among other things. The researchers have published their findings in Nature Communications.
Decoding movement intentions in the brain using ultrasound waves
While many techniques can image brain activity, this was the first time that a new technology, called functional ultrasound imaging, was used to detect motor planning deep within the brain. The team is now applying functional ultrasound decoding to more complicated motor control tasks. At ImPhys, Dr. Maresca is developing ultrasound technologies to image brain activity down to the cellular scale.
IRIS Lab: AI for quantitative bioimaging
The aim of the IRIS lab is to open the black box of AI and develop methodologies for context-independent, knowledge-based learning of imaging systems that will address fundamental challenges in all quantitative imaging applications. The proposed AI-technology will be applied to electron, optical, and ultrasound imaging to unravel dynamic molecular processes in living organisms: conformational ensembles of proteins, single-molecule dynamics in thick tissue and super-resolved vasculature mapping in real-time.
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.