@inproceedings{10.1117/12.2652955,
author = {Awanish Pratap Singh and Madita G{\"o}b and Martin Ahrens and Tim Eixmann and Hinnerk Schulz-Hildebrandt and Gereon H{\"u}ttmann and Robert Huber and Maik Rahlves},
title = {{Synchronous high-speed OCT imaging with sensor less brushless DC motor and FDML laser in a phase-locked loop}},
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 = {1236703},
abstract = {High-speed endoscopic optical coherence tomography (OCT) imaging in the MHz range has shown great potential in various medical applications ranging from cancer screening to vascular disease monitoring. High-speed imaging always suffers from non-uniform rotational distortion (NURD) due to asynchronous motor rotation with the OCT system. Several research groups have previously attempted to solve this problem, using either an expensive motor with a sensor or numerical correction after data acquisition. However, both techniques pose challenges for practical use. Therefore, in this study, we use an inexpensive sensorless brushless DC motor with a Fourier domain mode-locked (FDML) laser-based MHz OCT system and try to resolve the problem of synchronization using three different modalities, (i) Slave-mode: The FDML frequency serves as a master frequency for the motor, which is phase-locked to the FDML frequency, (ii) Master-mode: The revolution trigger obtained from the motor’s back electromotive force (BEMF) signal serves as a trigger signal for the OCT imaging system, (iii) Both: Fully synchronized setup, where the motor rotation is synchronized with the laser and the imaging system is synchronized with the motor to achieve phase-stable OCT imaging. The first case slightly fluctuates in live preview and imaging due to the absence of a revolution trigger, while the second has varying motor speeds. Therefore, we use the third case to phase-lock the motor with FDML and get a distortion-free live preview and image acquisition. Finally, we demonstrate high-speed SS-OCT structural imaging (at 3.3 MHz A-scan rates) of a finger with a 16 mm diameter probe (at 40,000 rpm).},
keywords = {Optical Coherence Tomography, Endoscopy, FDML , Closed Loop Motor Control, NURD compensation, Brushless DC Motor, Back Electromotive Force},
year = {2023},
doi = {10.1117/12.2652955},
URL = {https://doi.org/10.1117/12.2652955}
}

@inproceedings{10.1117/12.2649963,
author = {Paul Strenge and Birgit Lange and Wolfgang Draxinger and Christian Hagel and Christin Grill and Veit Danicke and Dirk Theisen-Kunde and Sonja Spahr-Hess and Matteo M. Bonsanto and Robert Huber and Heinz Handels and Ralf Brinkmann},
title = {{Dual wavelength analysis and classification of brain tumor tissue with optical coherence tomography}},
volume = {12368},
booktitle = {Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXI},
editor = {Caroline Boudoux and James W. Tunnell},
organization = {International Society for Optics and Photonics},
publisher = {SPIE},
pages = {1236805},
abstract = {The ill-defined tumor borders of glioblastoma multiforme pose a major challenge for the surgeon during tumor resection,  since the goal of the tumor resection is the complete removal, while saving as much healthy brain tissue as possible. In  recent years, optical coherence tomography (OCT) was successfully used to classify white matter from tumor infiltrated  white matter by several research groups. Motivated by these results, a dataset was created, which consisted of sets of  corresponding ex vivo OCT images, which were acquired by two OCT-systems with different properties (e.g. wavelength  and resolution). Each image was annotated with semantic labels. The labels differentiate between white and gray matter  and three different stages of tumor infiltration. The data from both systems not only allowed a comparison of the ability of  a system to identify the different tissue types present during the tumor resection, but also enable a multimodal tissue  analysis evaluating corresponding OCT images of the two systems simultaneously. A convolutional neural network with  dirichlet prior was trained, which allowed to capture the uncertainty of a prediction. The approach increased the sensitivity  of identifying tumor infiltration from 58 % to 78 % for data with a low prediction uncertainty compared to a previous  monomodal approach. },
keywords = {optical coherence tomography, oct, brain, classification, tumor, dual wavelength, glioblastoma multiforme, tissue analysis},
year = {2023},
doi = {10.1117/12.2649963},
URL = {https://doi.org/10.1117/12.2649963}
}

@inproceedings{10.1117/12.2649835,
author = {Nicolas Detrez and Sazgar Burhan and Katharina Rewerts 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: processing and mechanical interpretation of brain tumor data}},
volume = {12381},
booktitle = {Optical Elastography and Tissue Biomechanics X},
editor = {Kirill V. Larin and Giuliano Scarcelli and Fr{\'e}d{\'e}rique Vanholsbeeck},
organization = {International Society for Optics and Photonics},
publisher = {SPIE},
pages = {1238105},
keywords = {Optical Coherence Elastography, Air-Jet, Air-Puff, biomechanics, viscoelasticity, rheology, brain tissue, brain tumor},
year = {2023},
doi = {10.1117/12.2649835},
URL = {https://doi.org/10.1117/12.2649835}
}

@inproceedings{10.1117/12.2648505,
author = {Wolfgang Draxinger and Dirk Theisen-Kunde and Lion Sch{\"u}tzeck and Nicolas Detrez and Paul Strenge and Veit Danicke and Jessica Kren and Patrick Kuppler and Sonja Spahr-Hess and Matteo Mario Bonsanto and Ralf Brinkmann and Robert Huber},
title = {{High speed 4D in-vivo OCT imaging of the human brain: creating high density datasets for machine learning toward identification of malign tissue in real time}},
volume = {12390},
booktitle = {High-Speed Biomedical Imaging and Spectroscopy VIII},
editor = {Kevin K. Tsia and Keisuke Goda},
organization = {International Society for Optics and Photonics},
publisher = {SPIE},
pages = {123900D},
abstract = {Neuro-surgery is challenged by the difficulties of determining brain tumor boundaries during excisions. Optical coherence tomography is investigated as an imaging modality for providing a viable contrast channel. Our MHz-OCT technology enables rapid volumetric imaging, suitable for surgical workflows. We present a surgical microscope integrated MHz-OCT imaging system, which is used for the collection of in-vivo images of human brains, with the purpose of being used in machine learning systems that shall be trained to identify and classify tumorous tissue.},
keywords = {optical coherence tomography, brain tumor, neurosurgery, machine learning, contrast augmentation, histology dataset, clinical study, in-vivo imaging},
year = {2023},
doi = {10.1117/12.2648505},
URL = {https://doi.org/10.1117/12.2648505}
}

@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{10.1117/12.2608773,
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{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{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{10.1117/12.2575733,

title = {Endo-microscopic optical coherence tomography (emOCT) with dynamic contrast},

author = {Hinnerk Schulz-Hildebrandt and Martin Ahrens and Michael M\"{u}nter and Elisa Wilken and Tabea Kohlf\"{a}rber and Cornelia Holzhausen and Peter K\"{o}nig and Gereon H\"{u}ttmann},

editor = {Guillermo Tearney J M.D. and Thomas D Wang and Melissa J Suter},

url = {https://doi.org/10.1117/12.2575733},

doi = {10.1117/12.2575733},

year  = {2021},

date = {2021-01-01},

booktitle = {Endoscopic Microscopy XVI},

volume = {11620},

publisher = {SPIE},

organization = {International Society for Optics and Photonics},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@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{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.},
}

@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{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{LotzLASE2021,
author = {S. Lotz, C. Grill, M. Göb, W. Draxinger, J. P. Kolb and R. Huber},
title = {{Characterization of the dynamics of an FDML laser during closed-loop cavity length control}},
volume = {11665},
booktitle = {Fiber Lasers XVIII: Technology and Systems},
editor = {Michalis N. Zervas},
organization = {International Society for Optics and Photonics},
publisher = {SPIE},
pages = {236 -- 241},
abstract = {In Fourier domain mode locked (FDML) lasers, extremely precise and stable matching of the filter tuning period and light circulation time in the cavity is essential for ultra-low noise operation. During the operation of FDML lasers, the ultra-low noise mode can be lost due to temperature drifts of the already temperature stabilized cavity resulting in increased intensity noise. Until now, the filter frequency is continuously regulated to match the changing light circulation time. However, this causes the filter frequency to constantly change by a few mHz and leads to synchronization issues in cases where a fixed filter frequency is desired. We present an actively cavity length controlled FDML laser and a robust and high precision feedback loop algorithm for maintaining ultra-low noise operation. Instead of adapting the filter frequency, the cavity length is adjusted by a motorized free space beam path to match the fixed filter frequency. The closed-loop system achieves a stability of ~0.18 mHz at a sweep repetition rate of ~418 kHz which corresponds to a ratio of 4×10<sup>-10</sup>. We investigate the coherence properties during the active cavity length adjustments and observe no noise increase compared to fixed cavity length. The cavity length control is fully functional and for the first time, offers the possibility to operate an FDML laser in sweet spot mode at a fixed frequency or phase locked to an external clock. This opens new possibilities for system integration of FDML lasers.},
keywords = {AG-Huber_FDML, FDML, Fourier domain mode locking, laser beating, tunable laser, optical coherence tomography, OCT},
year = {2021},
URL = {hhttps://doi.org/10.1117/12.2578514}
}

@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{10.1117/12.2587181,
author = {F. Vanholsbeeck, M. Goodwin, M. Klufts, J. Workman and A. Thambyah},
title = {{Birefringence as a proxy for viscoelastic properties of cartilage using polarisation sensitive optical coherence tomography}},
volume = {11645},
booktitle = {Optical Elastography and Tissue Biomechanics VIII},
editor = {Kirill V. Larin and Giuliano Scarcelli},
organization = {International Society for Optics and Photonics},
publisher = {SPIE},
abstract = {Non-invasive identification, understanding and evaluation of articular cartilage damage is paramount for osteoarthritis researcher and clinician alike. Using polarisation sensitive optical coherence tomography together with impact and creep load, we use a range of metrics including birefringence to detect early signs of cartilage degeneration and gain new insights into the physiology of joint tissues},
year = {2021},
doi = {10.1117/12.2587181},
}

@inproceedings{Hutfilz2021,
   author = {Hutfilz, A;Theisen-Kunde, D;Bonsanto, M and Brinkman, R},
   title = {Laser Coagulation of Brain tissue at 1480 nm and 1940 nm wavelengths},
   booktitle = {ECBO},
url = {https://doi.org/10.1117/12.2614437},
   publisher = {Osa},
year = {2021},
   type = {Conference Proceedings}
}

@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{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{10.1117/12.2583811,

title = {Comparison between dynamic microscopic OCT and autofluorescence multiphoton microscopy for label-free analysis of murine trachea},

author = {Tabea Kohlfaerber and Michael M\"{u}nter and Mario Pieper and Peter K\"{o}nig and Ramtin Rahmanzadeh and Gereon H\"{u}ttmann and Hinnerk Schulz-Hildebrandt},

editor = {Joseph A Izatt and James G Fujimoto},

url = {https://doi.org/10.1117/12.2583811},

doi = {10.1117/12.2583811},

year  = {2021},

date = {2021-01-01},

booktitle = {Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXV},

volume = {11630},

publisher = {SPIE},

organization = {International Society for Optics and Photonics},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1117/12.2578787,

title = {Voice coil based endomicroscopic optical coherence tomography probe for in vivo mucosa examination},

author = {Martin Ahrens and Christian Idel and Peter K\"{o}nig and Gereon H\"{u}ttmann and Hinnerk Schulz-Hildebrandt},

editor = {Guillermo Tearney J M.D. and Thomas D Wang and Melissa J Suter},

url = {https://doi.org/10.1117/12.2578787},

doi = {10.1117/12.2578787},

year  = {2021},

date = {2021-01-01},

booktitle = {Endoscopic Microscopy XVI},

volume = {11620},

publisher = {SPIE},

organization = {International Society for Optics and Photonics},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Mordmüller2021,
   author = {Mordmüller, M;Kleymann, V;Schaller, M;Wilson, M;Wothmann, K;Müller, M A and Brinkman, R},
   title = { Towards Model-based Control Techniques for Retinal Laser
Treatment Using Only One Laser},
   booktitle = {ECBO},
url = {https://doi.org/10.1117/12.2615851},
year = {2021},
   type = {Conference Proceedings}
}

@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{Linz2021,
   author = {Ibey, B L and Linz, N},
   title = {Front Matter: Volume 11640},
   booktitle = {SPIE BiOS},
Year = {2021},
   publisher = {SPIE},
   volume = {11640},
   url = {https://doi.org/10.1117/12.2596605},
   type = {Conference Proceedings}
}