The department of Imaging Physics develops novel instrumentation and imaging technologies. We are driven by our scientific curiosity and problem oriented nature in research with a strong connection to industry and to educate future leaders in the field of imaging science.
The scientific staff of the department is formed by independent Principle Investigators or Educators.
05 December 2016
Alberico Sabbadini joined our group as PhD student
Alberico started his PhD on 1 December. He will work on a method for early diagnosis of stiffening of the heart, which employs non-invasive ultrasound imaging and allows early identification of (patients at risk of developing) heart failure. The new method is based on the natural shear waves in the heart muscle, which find their origin in the natural “noise-like” mechanical excitations caused by the beating heart, flowing blood, breathing, etc. The propagation velocity of the resulting natural shear waves is dependent on the local stiffness of the heart muscle.
30 November 2016
NWO ECHO Project Jacob Hoogenboom approved
Title: "Optimized electron-molecule interactions for near-molecular resolution light and electron microscopy". The researchers propose a novel approach: fluorescence microscopy using a beam of energetic electrons. This will allow measuring molecular positions in the structural landscape at electron microscopy resolution. Their approach is enabled by two unconventional steps: (i) Fluorescent molecules will be excited in an electron microscope using low-energy (1-50eV) electrons, probing resonant and near-resonant intramolecular excitation regimes. (ii) Encouraged by recent initial observations of electron-excited fluorescence from green fluorescent protein (GFP) under vacuum, will optimize fluorescent proteins for fluorescence microscopy with focused electron beams. Thus, we will enable electron-excited fluorescence from organic fluorescent molecules commonly used as bio-molecular labels for immuno-targeting, as well as from optimized fluorescent proteins.
18 October 2016
QI: Interview with Lena Filatova (PhD) in MICCAI Daily
Our PhD Student Lena Filatova was interviewed by the MICCAI Daily about Women in Science.
14 October 2016
OP: Thomas van den Hooven started his BSc project
Thomas has started his BSc project which focusses on the modelling a computational hyperspectral imaging device. His supervisors are Paul Urbach, Yifeng Shao and Matthias Strauch. Most hyperspectral imaging devices ‘scan’ their object in wavelength: a picture is taken for every wavelength and later this data is merged. This device will rather scan the hyperspectral electromagnetic field emitted by the object using a spatial light modulator (SLM): one moving point will scan along the SLM and another point will be used as a reference. The light transmitted through the SLM will then interfere, making it possible to obtain relative phase and amplitude information for each wavelength at each point of the SLM. The advantages of this method are evident, using a fast SLM, the needed interference patterns can be captured relatively quick. Also, the method can in theory process a lot of wavelength at once. Unfortunately, the method also requires a lot of processing power. The goal of this project is to find of this method is feasible to be used as an alternative in hyperspectral imaging.
In the spotlight
In the spotlight
From light spots to supersharp images
Making detailed 3D images of proteins in living cells with a special light microscope, without damaging those cells. That is what Sjoerd Stallinga, winner of an ERC Advanced grant worth 2.3 million euros, wants to achieve. In order to do so he is going to scan samples nanometer by nanometer using a sophisticated 3D light pattern in an approach that requires extensive collaboration between different disciplines.
Spotlight on aggressive cancer cells
Metastases in cancer are often caused by a few abnormal cells. These behave more aggressively than the other cancer cells in a tumour. Miao-Ping Chien and Daan Brinks are working together, from two different universities, on a method to detect these cells. Their research has now been published in Nature Biomedical Engineering
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.