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Richard Haindl
Richard Haindl, PhD

Center for Medical Physics and Biomedical Engineering
Position: Research Associate (Postdoc)

ORCID: 0000-0003-3471-0986
T +43 1 0043 40400 17150

Further Information


Algorithms; Laser-Doppler Flowmetry; Multimodal Imaging; Photoacoustic Techniques; Programming Languages; Tomography, Optical Coherence

Research group(s)

Research interests

I am a Postdoc at the Medical University of Vienna, Center for Medical Physics and Biomedical Engineering. My current research relates to multimodal preclinical imaging, where I develop a novel optical coherence photoacoustic microscopy system.

In my PhD I researched novel optical coherence tomography (OCT) systems for early diagnosis of several eye diseases like glaucoma. I mainly focused on Doppler OCT (D-OCT) and the development of a three beam D-OCT system capable to quantitatively measure total retinal blood flow in-vivo without prior knowledge on the vessel geometry, which is a requirement for standard D-OCT.

My main scientific interest lies in machine/deep learning, multifunctional optical imaging, photoacoustics, OCT-angiography, Doppler and polarization sensitive OCT and in/ex-vivo clinical and preclinical studies.

Techniques, methods & infrastructure

Photoacoustic microscopy (PAM) at various wavelengths, Optical coherence microscopy (OCM), Doppler optical coherence microscopy (D-OCM). Machine learning. Deep Learning. Animal models: zebrafish larvae, chick embryos

Selected publications

  1. Deloria, A.J. et al., 2020. Ultra-high-resolution 3D optical coherence tomography reveals inner structures of human placenta-derived trophoblast organoids. IEEE Transactions on Biomedical Engineering, pp.1–1. Available at:
  2. Haindl, R. et al., 2020. Ultra-high-resolution SD-OCM imaging with a compact polarization-aligned 840 nm broadband combined-SLED source. Biomedical Optics Express, 11(6), p.3395. Available at:
  3. Haindl, R. et al., 2020. Functional optical coherence tomography and photoacoustic microscopy imaging for zebrafish larvae. Biomedical Optics Express, 11(4), p.2137. Available at:
  4. Wang, Z. et al., 2020. NIR nanoprobe-facilitated cross-referencing manifestation of local disease biology for dynamic therapeutic response assessment. Chemical Science, 11(3), pp.803–811. Available at:
  5. Haindl, R. et al., 2016. Total retinal blood flow measurement by three beam Doppler optical coherence tomography. Biomedical Optics Express, 7(2), p.287. Available at: