@inproceedings{10.1117/12.2652847,
author = {Sazgar Burhan and Nicolas Detrez and Katharina Rewerts and Madita G{\"o}b and Steffen Buschschl{\"u}ter and Christian Hagel and Matteo Mario Bonsanto M.D. and Dirk Theisen-Kunde and Robert Huber and Ralf Brinkmann},
title = {{Phase analysis strategies for MHz OCE in the large displacement regime}},
volume = {12367},
booktitle = {Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVII},
editor = {Joseph A. Izatt and James G. Fujimoto},
organization = {International Society for Optics and Photonics},
publisher = {SPIE},
pages = {123670Q},
abstract = {In neurosurgical tumor operations on the central nervous system, intraoperative haptic information often assists for discrimination between healthy and diseased tissue. Thus, it can provide the neurosurgeon with additional intraoperative source of information during resection, next to the visual information by the light microscope, fluorescent dyes and neuronavigation. One approach to obtain elastic and viscoelastic tissue characteristics non-subjectively is phase-sensitive optical coherence elastography (OCE), which is based on the principle of optical coherence tomography (OCT). While phase-sensitive OCE offers significantly higher displacement sensitivity inside a sample than commonly used intensity-based correlation methods, it requires a reliable algorithm to recover the phase signal, which is mathematically restricted in the -π to π range. This problem of phase wrapping is especially critical for inter-frame phase analysis since the time intervals between two referenced voxels is long. Here, we demonstrate a one-dimensional unwrapping algorithm capable of removing up to 4π-ambiguities between two frames in the complex phase data obtained from a 3.2 MHz-OCT system. The high sampling rate allows us to resolve large sample displacements induced by a 200 ms air pulse and acquires pixel-precise detail information. The deformation behavior of the tissue can be monitored over the entire acquisition time, offering various subsequent mechanical analysis procedures. The reliability of the algorithm and imaging concept was initially evaluated using different brain tumor mimicking phantoms. Additionally, results from human ex vivo brain tumor samples are presented and correlated with histological findings supporting the robustness of the algorithm.},
keywords = {Optical Coherence Tomography, Megahertz OCT, Fourier Domain Mode Locking, Optical Coherence Elastography, Phase-sensitive OCT, Phase Unwrapping, Brain tumor, Biomechanics},
year = {2023},
doi = {10.1117/12.2652847},
URL = {https://doi.org/10.1117/12.2652847}
}

@inproceedings{10.1117/12.2670953,
author = {Wolfgang Draxinger and Dirk Theisen-Kunde and Lion Schuetz and Nicolas Detrez and Paul Strenge and Maximilian Rixius and Veit Danicke and Wolfgang Wieser and Jessica Kren and Patrick Kuppler and Sonja Spar-Hess and Matteo Mario Bonsanto M.D. and Ralf Brinkmann and Robert Huber},
title = {{Microscope integrated realtime high density 4D MHz-OCT in neurosurgery: a depth and tissue resolving visual contrast channel and the challenge of fused presentation}},
volume = {12627},
booktitle = {Translational Biophotonics: Diagnostics and Therapeutics III},
editor = {Zhiwei Huang and Lothar D. Lilge},
organization = {International Society for Optics and Photonics},
publisher = {SPIE},
pages = {126270W},
keywords = {optical coherence tomography, neurosurgery, tissue contrast, image fusion, surgical guidance, theranostics},
year = {2023},
doi = {10.1117/12.2670953},
URL = {https://doi.org/10.1117/12.2670953}
}

@inproceedings{10.1117/12.2670944,
author = {Nicolas Detrez and Sazgar Burhan and Paul Strenge and Jessica Kren and Christian Hagel and Matteo Mario Bonsanto and Dirk Theisen-Kunde and Robert Huber and Ralf Brinkmann},
title = {{Air-jet based optical coherence elastography of brain tumor tissue: stiffness evaluation by structural histological analysis}},
volume = {12629},
booktitle = {Emerging Technologies for Cell and Tissue Characterization II},
editor = {Seemantini K. Nadkarni and Giuliano Scarcelli},
organization = {International Society for Optics and Photonics},
publisher = {SPIE},
pages = {126290M},
keywords = {Optical Coherence Elastography, Air-Jet, Phase-sensitive OCT, Histology Structure Analysis, Color-Deconvolution, Structural Tensors, Brain tumor, Tissue Characterization},
year = {2023},
doi = {10.1117/12.2670944},
URL = {https://doi.org/10.1117/12.2670944}
}

@inproceedings{10.1117/12.2651127,
author = {A. Mart{\'i}nez Jim{\'e}nez and M. Spacek and M. Wacker and R. Huber and A. Bradu and A. Podoleanu},
title = {{MHz time stretch swept source using a commercial erbium-doped fiber amplifier}},
volume = {12367},
booktitle = {Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVII},
editor = {Joseph A. Izatt and James G. Fujimoto},
organization = {International Society for Optics and Photonics},
publisher = {SPIE},
pages = {1236706},
keywords = {swept source, time-stretch, optical coherence tomography, mode-locking},
year = {2023},
doi = {10.1117/12.2651127},
URL = {https://doi.org/10.1117/12.2651127}
}

@inproceedings{10.1117/12.2671751,
author = {Alexander Altmann and Mohammad Khodaygani and Martin Leucker and Christian Schell and Ramtin Rahmanzadeh},
title = {{Fluorescence based detection of gaseous food spoilage indicators}},
volume = {12627},
booktitle = {Translational Biophotonics: Diagnostics and Therapeutics III},
editor = {Zhiwei Huang and Lothar D. Lilge},
organization = {International Society for Optics and Photonics},
publisher = {SPIE},
pages = {126270I},
keywords = {fluorescence spectroscopy, gas sensing, optode technology, food safety, porphyrins, SVM classifier},
year = {2023},
doi = {10.1117/12.2671751},
URL = {https://doi.org/10.1117/12.2671751}
}

@inproceedings{10.1117/12.2670902,
author = {Paula Enzian and Birgit Lange and Zuzana Penxov{\'a} and Anke Leichtle and Yoko Miura and Karl-Ludwig Bruchhage and Ralf Brinkmann},
title = {{Fluorescence lifetime imaging microscopy (FLIM) of human middle ear tissue samples}},
volume = {12627},
booktitle = {Translational Biophotonics: Diagnostics and Therapeutics III},
editor = {Zhiwei Huang and Lothar D. Lilge},
organization = {International Society for Optics and Photonics},
publisher = {SPIE},
pages = {126271T},
keywords = {FLIM, autofluorescence, otitis media, cholesteatoma, middle ear, inflammation},
year = {2023},
doi = {10.1117/12.2670902},
URL = {https://doi.org/10.1117/12.2670902}
}

@inproceedings{10.1117/12.2612171,
author = {Madita G{\"o}b and Sazgar Burhan and Simon Lotz and Robert Huber},
title = {{Towards ultra-large area vascular contrast skin imaging using multi-MHz-OCT}},
volume = {11948},
booktitle = {Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVI},
editor = {Joseph A. Izatt and James G. Fujimoto},
organization = {International Society for Optics and Photonics},
publisher = {SPIE},
pages = {1194807},
abstract = {We demonstrate ultra-large field of view OCT scanning using standard optics, a X-Y-galvanometer scanner and a synchronously driven motorized XYZ-positioning stage. The integration of a movable stage into our self-built 3.3 MHz- OCT system allows acquiring coherent ultra-large area images, fully leveraging the high speed potential of our system. For fast OCT-angiography, one galvanometer axis scanner is driven in a repetitive sawtooth pattern, fully synchronized to the movement of the linear stage, to obtain multiple measurements at each position. This technique requires exact synchronization, precise repositioning, and uniform movements with low tolerances to ensure a minimum revisitation error. We analyze error and performance of our setup and demonstrate angiographic imaging.},
keywords = {Optical Coherence Tomography, Fourier Domain Mode Locking, FDML, Optical Coherence Angiography, OCTA, Medical optics and biotechnology, Medical imaging, Three-dimensional image acquisition, Scanners, Microscopy},
year = {2022},
doi = {10.1117/12.2612171},
URL = {https://doi.org/10.1117/12.2612171}
}

@inproceedings{10.1117/12.2608773,
author = {M. Klufts and S. Lotz and M. Bashir and S. Karpf and R. Huber},
title = {{Ultra-high-accuracy chromatic dispersion measurement in optical fibers}},
volume = {11997},
booktitle = {Optical Components and Materials XIX},
editor = {Shibin Jiang and Michel J. F. Digonnet},
organization = {International Society for Optics and Photonics},
publisher = {SPIE},
pages = {119970L},
abstract = {The chromatic dispersion in optical fibers is a key property for applications where a broadband light source is used and the timing of each individual wavelength is crucial. Counteracting the timing offset introduced by the fiber is a challenge in many applications especially in mode locked lasers. The dispersion parameters need to be measured with high precision. The length of the fiber, the temperature, and the used wavelength will highly impact the amount of dispersion and the accuracy of the measurement. We developed an ultra-high-accuracy dispersion measurement setup at 1080 ± 50 nm considering all the parameters that may influence the measurement. It is based on a home-built wavelength tunable laser where the output is modulated by an electro-optical modulator connected to a 24 GSamples/s arbitrary waveform generator to a complex pattern consisting of pulses and a 4 GHz sine wave. After passing through the fiber the signal is measured with an 80 GSamples/s real time oscilloscope. The fiber’s temperature is controlled to allow for reproducible measurements over several days and we achieve timing measurement accuracies down to ~200 fs. We also present the performance of the setup at ~850 nm. We will discuss and quantify all effects which can negatively impact the system accuracy and we will report on more cost-effective options using lower performance equipment.},
keywords = {Dispersion measurement, Chromatic dispersion, fiber dispersion measurement, optical component characterization, tunable laser, FDML},
year = {2022},
doi = {10.1117/12.2608773},
URL = {https://doi.org/10.1117/12.2608773}
}

@INPROCEEDINGS{9894816,
  author={Aşırım, Ö. E. and Huber, R. and Jirauschek, C.},
  booktitle={2022 International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD)}, 
  title={Effect of Self-Phase Modulation on The Signal Quality of Fourier Domain Mode-Locked Lasers}, 
  year={2022},
  volume={},
  number={},
  pages={67-68},
  doi={10.1109/NUSOD54938.2022.9894816}}

@inproceedings{Gob:21,
author = {Madita G\"{o}b and Sazgar Burhan and Wolfgang Draxinger and Jan Philip Kolb and Robert Huber},
booktitle = {European Conferences on Biomedical Optics 2021 (ECBO)},
journal = {European Conferences on Biomedical Optics 2021 (ECBO)},
keywords = {AG-Huber_OCT;Fourier domain mode locking; Image processing; Image quality; Optical coherence tomography; Temporal resolution; Three dimensional imaging},
pages = {EW3C.4},
publisher = {Optical Society of America},
title = {Towards densely sampled ultra-large area multi-MHz-OCT for in vivo skin measurements beyond 1 cm$^2$/sec},
year = {2021},
url = {http://www.osapublishing.org/abstract.cfm?URI=ECBO-2021-EW3C.4},
abstract = {We demonstrate a 3.3 MHz A-scan rate OCT for rapid scanning of large areas of human skin. The mosaicking performance and different OCT imaging modalities including intervolume speckle contrast are evaluated.},
}

@inproceedings{Strenge:21,
author = {P. Strenge, B. Lange, C. Grill, W. Draxinger, V. Danicke, D. Theisen-Kunde, H. Handels, M. M. Bonsanto, C. Hagel, R. Huber and R. Brinkmann},
journal = {European Conferences on Biomedical Optics 2021 (ECBO)},
keywords = {AG-Huber_OCT; Absorption coefficient; Attenuation coefficient; Fourier domain mode locking; Multiple scattering; Optical coherence tomography; Spectral domain optical coherence tomography},
pages = {EW1C.7},
publisher = {Optical Society of America},
title = {Comparison of two optical coherence tomography systems to identify human brain tumor},
year = {2021},
url = {https://doi.org/10.1117/12.2616044},
abstract = {The identification of ex vivo brain tumor tissue was investigated with two different optical coherence tomography systems exploiting two optical parameters. The optical parameters were calculated from semantically labelled OCT B-scans.},
}

@inproceedings{Detrez:21,
author = {N. Detrez, K. Rewerts, M. Matthiae, S. Buschschlueter, M.M. Bonsanto, D. Theisen-Kunde and R. Brinkmann},
journal = {European Conferences on Biomedical Optics 2021 (ECBO)},
keywords = {AG-Huber_OCT},
pages = {EW4A.10},
publisher = {Optical Society of America},
title = {Flow Controlled Air Puff Generator Towards In Situ Brain Tumor Detection Based on MHz Optical Coherence Elastography},
year = {2021},
url = {https://doi.org/10.1117/12.2615022},
abstract = {A precision air puff excitation system for MHz Optical Coherence Elastography in neurosurgery was developed. It enables non-contact soft-tissue excitation down to {\textmu}N, with direct, noncontact force determination via gas flow measurement.},
}

@inproceedings{Rewerts2021ECBO,
author = {K. Rewerts, M. Matthiae, N. Detrez, S. Buschschlueter, M.M. Bonsanto, R. Huber and R. Brinkmann},
journal = {European Conferences on Biomedical Optics 2021 (ECBO)},
keywords = {AG-Huber_OCT},
pages = {ETh3A.3},
publisher = {Optical Society of America},
title = {Phase-Sensitive Optical Coherence Elastography with a 3.2 MHz FDML-Laser Using Focused Air-Puff Tissue Indentation},
year = {2021},
url = {http://www.osapublishing.org/abstract.cfm?URI=ECBO-2021-ETh3A.3},
abstract = {Tumor discrimination from healthy tissue is often performed by haptically probing tissue elasticity. We demonstrate non-contact elastography using air-puff excitation and tissue indentation measurement by phase-sensitive OCT with a 3.2 MHz FDML-laser.},
}

@inproceedings{RN5321,
   author = {Pfäffle, C;Spahr, H;Gercke, K;Burhan, S;Melenberg, D;Miura, Y;Hüttmann, G and Hillmann, D},
   title = {Phase-sensitive measurements of depth dependent signal transduction in the inner plexiform layer},
   booktitle = {SPIE BiOS},
   publisher = {SPIE},
   volume = {11623},
   url = {https://doi.org/10.1117/12.2577605},
   type = {Conference Proceedings}
}

@InProceedings{pmlr-v143-gruening21a,
  title = 	 {Direct Inference of Cell Positions using Lens-Free Microscopy and Deep Learning},
  author =       {Gruening, Philipp and Nette, Falk and Heldt, Noah and de Souza, Ana Cristina Guerra and Barth, Erhardt},
  booktitle = 	 {Proceedings of the Fourth Conference on Medical Imaging with Deep Learning},
  pages = 	 {219--227},
  year = 	 {2021},
  editor = 	 {Heinrich, Mattias and Dou, Qi and de Bruijne, Marleen and Lellmann, Jan and Schläfer, Alexander and Ernst, Floris},
  volume = 	 {143},
  series = 	 {Proceedings of Machine Learning Research},
  month = 	 {07--09 Jul},
  publisher =    {PMLR},
  pdf = 	 {https://proceedings.mlr.press/v143/gruening21a/gruening21a.pdf},
  url = 	 {https://proceedings.mlr.press/v143/gruening21a.html},
  abstract = 	 {With in-line holography, it is possible to record biological cells over time in a three-dimensional hydrogel without the need for staining, providing the capability of observing cell behavior in a minimally invasive manner. However, this setup currently requires computationally intensive image-reconstruction algorithms to determine the required cell statistics. In this work, we directly extract cell positions from the holographic data by using deep neural networks and thus avoid several reconstruction steps. We show that our method is capable of substantially decreasing the time needed to extract information from the raw data without loss in quality.}
}

@INPROCEEDINGS{9542126,
  author={Grill, Christin and Lotz, Simon and Blömker, Torben and Schmidt, Mark and Draxinger, Wolfgang and Kolb, Jan Philip and Jirauschek, Christian and Huber, Robert},
  booktitle={2021 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC)}, 
  title={Superposition of two independent FDML lasers}, 
  year={2021},
  volume={},
  number={},
  pages={1-1},
  abstract={Fourier domain mode locking (FDML) is a laser operating regime, which was developed in 2005 [1] . The output of this laser is a train of optical wavelength sweeps, equivalent to extremely chirped pulses with an optical bandwidth of up to 25 THz and frequency tuning rates of >10 19 Hz/s. This laser type was developed for optical coherence tomography [2] , but found recently more and more applications like LiDAR [3] , Raman microscopy [4] or two-photon microscopy [5] . The laser’s coherence properties are relevant for a better understanding of the FDML laser itself and its applications. Because of the wide sweep range and high tuning rate, the laser linewidth cannot be measured with an RF spectrometer. Superposition with a narrowband continuous wave laser only yields phase information for small fractions of the sweep [6] . However, beat signal measurements between two independent FDML lasers with equal sweep range and direction can give information about the complete sweep.},
  keywords={},
  doi={10.1109/CLEO/Europe-EQEC52157.2021.9542126},
  ISSN={},
  month={June}
}

@inproceedings{Pfeiffer2021,
author = {T. Pfeiffer, T. Klein, A. Mlynek, W. Wieser, S. Lotz, C. Grill and R. Huber},
title = {{High finesse tunable Fabry-Perot filters in Fourier-domain modelocked lasers}},
volume = {11630},
booktitle = {Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXV},
editor = {Joseph A. Izatt and James G. Fujimoto},
organization = {International Society for Optics and Photonics},
publisher = {SPIE},
abstract = {We demonstrate that the coherence roll-off and dynamic range of OCT systems using Fourier-domain mode-locked (FDML) lasers can be significantly improved by a fiber Fabry-Perot tunable filter (FFP-TF) with a finesse of more than 3000, a more than fivefold improvement over previous designs. In contrast to previous work, standard resampling using a pre-acquired signal (as in SD-OCT) with no k-clocking is sufficient for 20 nm and 100 nm sweep range, significantly reducing the system complexity. 3D-OCT imaging at 20 cm imaging range is demonstrated.},
keywords = {AG-Huber_FDML, AG-Huber_OCT, optical coherence tomography, FDML laser, swept source laser, high finesse, Fabry-Perot, MHz-OCT, OCT, tunable laser},
year = {2021},
URL = {hhttps://doi.org/10.1117/12.2583501}
}

@inproceedings{RN5318,
   author = {Strauch, M;Kolb, J P;Draxinger, W;Popp, A-K;Wacker, M;Merg, N;Hundt, J;Karpf, S and Huber, R},
   title = {Sectioning-free virtual H&E histology with fiber-based two-photon microscopy},
   booktitle = {SPIE BiOS},
   publisher = {SPIE},
   volume = {11648},
Year = {2021},
   DOI = {https://doi.org/10.1117/12.2578334},
   url = {https://doi.org/10.1117/12.2578334},
   type = {Conference Proceedings}
}

@inproceedings{Strenge2021A,
author = {P. Strenge, B. Lange, C. Grill, W. Draxinger, V. Danicke, D. Theisen-Kunde, H. Handels, M. Bonsanto, C. Hagel, R. Huber and R. Brinkmann},
title = {{Characterization of brain tumor tissue with 1310 nm optical coherence tomography}},
volume = {11630},
booktitle = {Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXV},
editor = {Joseph A. Izatt and James G. Fujimoto},
organization = {International Society for Optics and Photonics},
publisher = {SPIE},
pages = {74 -- 80},
abstract = {The separation of tumorous brain tissue and healthy brain tissue is still a big challenge in the field of neurosurgery, especially when it comes to the detection of different infiltration grades of glioblastoma multiforme at the tumor border. On the basis of a recently created labelled OCT dataset of ex vivo glioblastoma multiforme tumor samples the detection of brain tumor tissue and the identification of zones with varying degrees of infiltration of tumor cells was investigated. The identification was based on the optical properties, which were extracted by an exponential fit function. The results showed that a separation of tumorous tissue and healthy white matter based on these optical properties is possible. A support vector machine was trained on the optical properties to separate tumor from healthy white matter tissue, which achieved a sensitivity of 91% and a specificity of 76% on an independent training dataset.},
keywords = {AG-Huber_OCT, optical coherence tomography, OCT, glioblastoma multiforme, MHz-OCT, brain imaging, tumor, neurosurgery},
year = {2021},
URL = {hhttps://doi.org/10.1117/12.2578409}
}

@inproceedings{Strenge2021,
author = {P. Strenge, B. Lange, C. Grill, W. Draxinger, V. Danicke, D. Theisen-Kunde, H. Handels, C. Hagel, M. Bonsanto, R. Huber and R. Brinkmann},
title = {{Creating a depth-resolved OCT-dataset for supervised classification based on ex vivo human brain samples}},
volume = {11630},
booktitle = {Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXV},
editor = {Joseph A. Izatt and James G. Fujimoto},
organization = {International Society for Optics and Photonics},
publisher = {SPIE},
pages = {66 -- 73},
abstract = {Optical coherence tomography (OCT) has the potential to become an additional imaging modality for surgical guidance in the field of neurosurgery, especially when it comes to the detection of different infiltration grades of glioblastoma multiforme at the tumor border. Interpretation of the images, however, is still a big challenge. A method to create a labeled OCT dataset based on ex vivo brain samples is introduced. The tissue samples were embedded in an agarose mold giving them a distinctive shape before images were acquired with two OCT systems (spectral domain (SD) and swept source (SS) OCT) and histological sections were created and segmented by a neuropathologist. Based on the given shape, the corresponding OCT images for each histological image can be determined. The transfer of the labels from the histological images onto the OCT images was done with a non-affine image registration approach based on the tissue shape. It was demonstrated that finding OCT images of a tissue sample corresponding to segmented histological images without any color or laser marking is possible. It was also shown that the set labels can be transferred onto OCT images. The accuracy of method is 26 ± 11 pixel, which translates to 192 ± 75 μm for the SS-OCT and 94 ± 43 μm for the SD-OCT. The dataset consists of several hundred labeled OCT images, which can be used to train a classification algorithm.},
keywords = {AG-Huber_OCT, optical coherence tomography, OCT, image registration, glioblastoma multiforme, MHz-OCT, brain imaging, tumor, neurosurgery},
year = {2021},
URL = {https://doi.org/10.1117/12.2578391}
}

@inproceedings{Grill2021,
author = {C. Grill, T. Blömker, M. Schmidt, D. Kastner, T. Pfeiffer, J.P. Kolb, W. Draxinger, S. Karpf, C. Jirauschek and R. Huber},
title = {{A detailed analysis of the coherence and field properties of an FDML laser by time resolved beat signal measurements}},
volume = {11665},
booktitle = {Fiber Lasers XVIII: Technology and Systems},
editor = {Michalis N. Zervas},
organization = {International Society for Optics and Photonics},
publisher = {SPIE},
pages = {242 -- 247},
keywords = {AG-Huber_FDML, Fourier domain mode locking, FDML laser, laser beating , tunable laser, optical coherence tomography, OCT},
year = {2021},
URL = {hhttps://doi.org/10.1117/12.2578293}
}

@inproceedings{10.1117/12.2583030,
author = {Michel Wunderlich and Peter Koch and Helge Sudkamp and Michael M{\"u}nst and Malte vom Endt and Moritz Moltmann and Gereon H{\"u}ttmann},
title = {{Eye tracking with off-axis full-field OCT by local analysis of recorded interferograms}},
volume = {11623},
booktitle = {Ophthalmic Technologies XXXI},
editor = {Daniel X. Hammer and Karen M. Joos and Daniel V. Palanker},
organization = {International Society for Optics and Photonics},
publisher = {SPIE},
pages = {116231Q},
keywords = {Retinal motion tracking in Off-Axis Full-Field OCT by local analy, Michel Wunderlich, Medizinsches Laserzentrum Lübeck, motion tracking, eye tracking, off-axis full-field time-domain OCT, OCT, retina},
year = {2021},
doi = {10.1117/12.2583030},
URL = {https://doi.org/10.1117/12.2583030}
}

@inproceedings{Deen2021,
   author = {Doug Deen, A;Pfeiffer, T;van Beusekom, H;Essers, J;van der Steen, A F.;Huber, Rt;van Soest, G and Wang, T},
   title = {Spectroscopic analysis through thermoelastic optical coherence microscopy},
   booktitle = {European Conferences on Biomedical Optics},
   publisher = {SPIE},
year = {2021},
   volume = {11924},
   url = {https://doi.org/10.1117/12.2616068},
   type = {Conference Proceedings}
}

@inproceedings{Theisen-Kunde:21,
author = {D. Theisen-Kunde and W. Draxinger and M. M. Bonsanto and Paul Strenge and Nicolas Detrez and R. Huber and R. Brinkmann},
booktitle = {European Conferences on Biomedical Optics 2021 (ECBO)},
journal = {European Conferences on Biomedical Optics 2021 (ECBO)},
keywords = {Clinical applications; Fourier domain mode locking; Optical coherence tomography; Optical fibers; Three dimensional reconstruction; White light},
pages = {ETu4A.2},
publisher = {Optica Publishing Group},
title = {1.6 MHz FDML OCT for Intraoperative Imaging in Neurosurgery},
year = {2021},
url = {https://opg.optica.org/abstract.cfm?URI=ECBO-2021-ETu4A.2},
doi = {10.1364/ECBO.2021.ETu4A.2},
abstract = {A 1.6 MHz Fourier-domain mode-locked (FDML) optical coherence tomography (OCT) was adapted to an OR-Microscope for clinical application in neurosurgery. 3D-volume scans at video rate are envisaged with approximately 50{\textmu}m lateral and 20{\textmu}m axial resolution.},
}