Laboratories

Cell Engineering

Logo of Cell Engineering group
Logo of Cell Engineering group
Figure: CBI

The use of proteins, nucleic acids or complete cells as genetically encodable and engineerable molecular tools becomes increasingly important. One of the most prolific areas is the construction of labels and sensors for in vivo and in situ imaging (e.g. fluorescent protein based). (more)

Clinical Translation Group

Segment of zebrafish shown by different imaging techniques
Segment of zebrafish shown by different imaging techniques
Figure: CBI

The Clinical Translation Group innovates optoacoustic (photoacoustic) systems and theory for reaching unprecedent imaging ability in preclinical and clinical anatomical, physiological and molecular imaging applications...(more)

Computation and Analytics (MSOT)

Tumors are depicted by MSOT
Tumors are depicted by MSOT
Figure: CBI

The laboratory for inverse problems and computation develops imaging technology using optical and optoacoustic methods, with a focus on development of novel imaging reconstruction algorithms. (more)

Fluorescence Imaging

Three-dimensional rendering of bones and skin of a mouse with a neck tumor based on XCT data and fluorescence signal based on FMT-XCT reconstruction.
Three-dimensional rendering of bones and skin of a mouse with a neck tumor based on XCT data and fluorescence signal based on FMT-XCT reconstruction.
Figure: Nature Methods 9(6), 615–620 (2012). doi:10.1038/nmeth.2014.

The Laboratory develops advanced fluorescence imaging methods for pre-clinical and clinical imaging, leading in 2011 to the first clinical translation of a targeted fluorescent agent for optical molecular imaging of patients. Focus is on the development of quantitative, real-time and tomographic methods that go well beyond conventional “photographic” fluorescence image...(more)

Machine Learning

Bayesian eigenspectra MSOT inversion grid and corresponding graphical models.
Bayesian eigenspectra MSOT inversion grid and corresponding graphical models.
Figure: CBI

We draw upon machine learning (ML) theory to solve problems and create new knowledge in medicine and biology by the way of furthering biomedical imaging. We target developing new ML analytic tools suited to the specific nature of biomedical images. (more)

Microscopy

Hybrid optoacoustic and multiphoton imaging of a mouse ear and a zebrafish larva ex-vivo.
Hybrid optoacoustic and multiphoton imaging of a mouse ear and a zebrafish larva ex-vivo.
Figure: CBI

Our group focuses on developing technology and applications on the combination of optical and optoacoustic microscopy in order to deliver contrast and imaging abilities not available in optical microscopes today. (more).

Optoacoustic Endoscopy

MSOT image of a small animal
MSOT image of a small animal
Figure: CBI

The Laboratory for Optoacoustic Endoscopy innovates optoacoustic (photoacoustic) systems and theory for reaching unprecedent imaging ability in preclinical and clinical anatomical, physiological and molecular imaging applications...(more)

Optoacoustic Mesoscopy

Different layers of human skin obtained with RSOM.
Different layers of human skin obtained with RSOM.
Figure: CBI

Our group conceives, designs and develops multispectral optoacoustic technology that allows performing non-invasive anatomical, functional and molecular optical imaging of the skin in the clinics...(more)

Sensors

Laser diode
Laser diode
Photo: Wikipedia

Our research innovates hybrid methods combining thermoacoustic, optoacoustic and fluorescence imaging...(more)

Biology Core Facility

Oxygenation map of mouse brain
Oxygenation map of mouse brain
Figure: CBI

The group is centered around provision and development of cell lines and animal models for optoacoustic imaging. Our portfolio includes transgenic cancer cell lines stably expressing iRPF720 and tyrosinase (both labels provide good contrast in optoacoustic imaging), systems for retroviral gene transfer and various chemical labels for primary cells....(more)