KaLKMaNLaB research

High quality imaging is of paramount importance in a variety of application areas. Imaging performance is assessed on three major benchmarks: image resolution, amount of volume imaged, and imaging speed. In terms of these benchmarks high resolution volumetric imaging at high frame rate speed is the holy grail of imaging. My research interest are in the development and improvement of high resolution, high speed, volumetric (3D) optical imaging technology.


Tomographic imaging is based on the reconstruction of the structure of an object based on projections of light emission from, or transmission through, the object. Based on the analysis of the optical imaging geometry we develop methodology to acquire optimal tomographic images, i.e., the image with the highest spatial resolution. Moreover, we develop algorithms for tomographic image reconstruction based on analytical models and iterative reconstruction techniques. 3D tomographic techniques are applied to fundamental biology and medicine in the form of zebrafish and optical biopsy imaging, respectively.
Fig. 1. Tomographic image reconstruction of a GFP labeled zebrafish. Original reconstruction (middle) and deconvoluted reconstruction (right).


Optical coherence tomography is a successful optical imaging technique reaching micrometer resolution up to a few millimeters deep. Although OCT is already well established, we work on improving OCT to obtain higher quality images and extracting more information from OCT data. Together with scientific and industrial partners we work on appplications such as

OCT rheology: determining flow, diffusion, fluid volume in microfluidic systems and droplets
OCT spectroscopy: determining fluid composition through spectroscopic analysis of OCT signals
Multi-scale OCT: large area imaging of paintings and plants
High resolution OCT: cellular OCT imaging of plant leaves