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.
26 april 2022
Octoscope: a compact microscope for voltage imaging
Voltage imaging and optogenetics offer new routes to optically detect and influence neural dynamics. Optimized hardware is necessary to make the most of these new techniques. In this study the Octoscope, a versatile, multimodal device for all-optical electrophysiology is presented. The researchers illustrate its concept and design and demonstrate its capability to perform both 1-photon and 2-photon voltage imaging with spatial and temporal light patterning, in both inverted and upright configurations, in vitro and in vivo.
22 april 2022
Jasper van Leeuwen joined ImPhys as MSc student
Jasper van Leeuwen will be working on dielectric active shimming for his thesis at Mars Lab, supervised by David Maresca and Paulina Šiurytė. The goal of the project is to incorporate remote switching in addition to designing, making, and testing a next-generation device, and if time permits, EM simulations.
18 oktober 2016
Two Imphys papers published in the same issue of Optics Express
In the Optics Express issue 21 two publications of ImPhys are published. One from CPO and one from QI. 1.) "Image resolution and deconvolution in optical tomography" by Jelle van der Horst and Jeroen Kalkman 2.) "Time-resolved cathodoluminescence microscopy with sub-nanosecond beam blanking for direct evaluation of the local density of states" by Robert J. Moerland, I. Gerward C. Weppelman, Mathijs W. H. Garming, Pieter Kruit, and Jacob P. Hoogenboom.
14 oktober 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.
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.