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Computational Biophotonics for Endoscopic Cancer Diagnosis and Therapy

Total Cost €


EC-Contrib. €






 COMBIOSCOPY project word cloud

Explore the words cloud of the COMBIOSCOPY project. It provides you a very rough idea of what is the project "COMBIOSCOPY" about.

undertreatment    blood    extremely    invasive    temporal    interventions    vessel    context    orientation    naked    endoscopy    systematic    shape    view    registration    laparoscopy    radiological    dynamically    instrument    reconstruct    photoacoustic    first    quantitative    diagnosis    biomarkers    navigation    complications    imagery    global    eye    therapy    structural    tumor    classification    surface    subsurface    point    optical    until    biophotonics    3d    functional    sensitivity    physician    combined    consist    function    acquired    lack    multispectral    independant    manner    socioeconomic    integration    medical    computational    colonoscopy    assisted    processed    revolutionize    minimally    precise    detection    time    anatomical    local    contrast    texture    instruments    free    multidisciplinary    images    topology    visible    endoscopic    procedure    discrimination    modal    clinical    white    radiation    volume    recurrence    co    oxygenation    operative    innovative    key    data    precision    light    imaging    spatio    registered    tissue    specificity    guidance    malignant    computer   

Project "COMBIOSCOPY" data sheet

The following table provides information about the project.


Organization address
postcode: 69120

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 1˙499˙699 €
 EC max contribution 1˙499˙699 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2014-STG
 Funding Scheme ERC-STG
 Starting year 2015
 Duration (year-month-day) from 2015-07-01   to  2020-06-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Key challenges in endoscopic tumor diagnosis and therapy consist of the detection and discrimination of malignant tissue as well as the precise navigation of medical instruments. Currently, a low level of sensitivity and specificity in tumor detection and lack of global orientation lead to both over- and undertreatment, tumor recurrence, intra-operative complications, and high costs. The goal of this multidisciplinary project is to revolutionize clinical endoscopic imaging based on the systematic integration of two new but independant fields of research up until this point: Biophotonics and computer-assisted interventions (COMputational BIOphotonics in endoSCOPY).

For the first time, quantitative multi-modal imaging biomarkers based on structural and functional data are being developed to enhance the physician’s view by providing information that cannot be seen with the naked eye. To this extent, white light images co-registered with multispectral optical and photoacoustic images will be processed in a combined manner to dynamically reconstruct not only the visible surface in 3D but also subsurface anatomical and functional detail such as 3D vessel topology, blood volume and oxygenation. Spatio-temporal registration of multi-modal data acquired before and during the procedure will enable (1) the highly specific local tissue classification and discrimination based on tissue shape, texture, function and radiological contrast imagery as well as (2) global context-aware instrument guidance.

This innovative approach to radiation-free real-time imaging will be implemented and evaluated by means of computer-assisted colonoscopy and laparoscopy. The potential socioeconomic impact of providing high precision minimally-invasive tumor diagnosis and therapy at low cost is extremely high.


year authors and title journal last update
List of publications.
2019 Leonardo A. Ayala, Sebastian J. Wirkert, Janek Gröhl, Mildred A. Herrera, Adrian Hernandez-Aguilera, Anant Vemuri, Edgar Santos, Lena Maier-Hein
Live Monitoring of Haemodynamic Changes with Multispectral Image Analysis
published pages: , ISSN: , DOI:
OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging 2020-03-05
2018 Thomas Kirchner, Franz Sattler, Janek Gröhl, Lena Maier-Hein
Signed Real-Time Delay Multiply and Sum Beamforming for Multispectral Photoacoustic Imaging
published pages: 121, ISSN: 2313-433X, DOI: 10.3390/jimaging4100121
Journal of Imaging 4/10 2020-02-28
2019 Sebastian J. Wirkert, Fabian Isensee, Anant S. Vemuri, Leonardo A. Ayala, Klaus H. Maier-Hein, Baowei Fei, Lena Maier-Hein
Task-specific multispectral band selection
published pages: , ISSN: , DOI:
arXiv 2020-02-28
2019 Janek Gröhl, Thomas Kirchner, Tim Adler, and Lena Maier-Hein
Estimation of blood oxygenation with learnedspectral decoloring for quantitative photoacousticimaging (LSD-qPAI)
published pages: , ISSN: , DOI:
arXiv 2020-02-28
2019 Tim J. Adler, Lynton Ardizzone, Leonardo Ayala, Janek Gr̈ohl, Anant Vemuri, SebastianJ. Wirkert, Beat P. M ̈uller-Stich, Carsten Rother, Ullrich K öthe,Lena Maier-Hein
Uncertainty handling in intra-operative multispectralimaging with invertible neural networks
published pages: 1-4, ISSN: , DOI:
Proceedings of Machine Learining Research - Under Review 2020-02-28
2016 Yan Zhang, Sebastian J. Wirkert, Justin Iszatt, Hannes Kenngott, Martin Wagner, Benjamin Mayer, Christian Stock, Neil T. Clancy, Daniel S. Elson, Lena Maier-Hein
Tissue classification for laparoscopic image understanding based on multispectral texture analysis
published pages: 978619, ISSN: , DOI: 10.1117/12.2216090
Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling 2019-05-29
2017 Jianyu Lin, Neil T. Clancy, Yang Hu, Ji Qi, Taran Tatla, Danail Stoyanov, Lena Maier-Hein, Daniel S. Elson
Endoscopic Depth Measurement and Super-Spectral-Resolution Imaging
published pages: 39-47, ISSN: , DOI: 10.1007/978-3-319-66185-8_5
2018 Sara Moccia, Sebastian J. Wirkert, Hannes Kenngott, Anant S. Vemuri, Martin Apitz, Benjamin Mayer, Elena De Momi, Leonardo S. Mattos, Lena Maier-Hein
Uncertainty-Aware Organ Classification for Surgical Data Science Applications in Laparoscopy
published pages: 1-1, ISSN: 0018-9294, DOI: 10.1109/TBME.2018.2813015
IEEE Transactions on Biomedical Engineering 2019-05-29
2018 Jianyu Lin, Neil T. Clancy, Ji Qi, Yang Hu, Taran Tatla, Danail Stoyanov, Lena Maier-Hein, Daniel S. Elson
Dual-modality endoscopic probe for tissue surface shape reconstruction and hyperspectral imaging enabled by deep neural networks
published pages: 162-176, ISSN: 1361-8415, DOI: 10.1016/
Medical Image Analysis 48 2019-05-29
2018 Lynton Ardizzone, Jakob Kruse, Sebastian Wirkert, Daniel Rahner, Eric W. Pellegrini, Ralf S. Klessen, Lena Maier-Hein, Carsten Rother, Ullrich Köthe
Analyzing Inverse Problems with Invertible Neural Networks
published pages: , ISSN: , DOI:
2016 Klemm, M., Kirchner, T., Gröhl, J., Cheraym D., Nolden, M., Seitel, A., Hoppe, H., Maier-Hein, L., Franz, AM.
MITK-OpenIGTLink for combining open-source toolkits in real-time computer-assisted interventions
published pages: 351-361, ISSN: 1861-6410, DOI: 10.1007/s11548-016-1488-y
International Journal of Computer Assisted Radiology and Surgery 2019-05-27
2017 Herman Alexander Jaeger, Alfred Michael Franz, Kilian O’Donoghue, Alexander Seitel, Fabian Trauzettel, Lena Maier-Hein, Pádraig Cantillon-Murphy
Anser EMT: the first open-source electromagnetic tracking platform for image-guided interventions
published pages: 1059-1067, ISSN: 1861-6410, DOI: 10.1007/s11548-017-1568-7
International Journal of Computer Assisted Radiology and Surgery 12/6 2019-05-27
2018 Thomas Kirchner, Janek Gröhl, Lena Maier-Hein
Context encoding enables machine learning-based quantitative photoacoustics
published pages: 1, ISSN: 1083-3668, DOI: 10.1117/1.JBO.23.5.056008
Journal of Biomedical Optics 23/05 2019-05-27
2016 Sebastian J. Wirkert, Hannes Kenngott, Benjamin Mayer, Patrick Mietkowski, Martin Wagner, Peter Sauer, Neil T. Clancy, Daniel S. Elson, Lena Maier-Hein
Robust near real-time estimation of physiological parameters from megapixel multispectral images with inverse Monte Carlo and random forest regression
published pages: 909-917, ISSN: 1861-6410, DOI: 10.1007/s11548-016-1376-5
International Journal of Computer Assisted Radiology and Surgery 11/6 2019-05-27
2016 Thomas Kirchner, Esther Wild, Klaus H. Maier-Hein, Lena Maier-Hein
Freehand photoacoustic tomography for 3D angiography using local gradient information
published pages: 97083G, ISSN: , DOI: 10.1117/12.2209368
Photons Plus Ultrasound: Imaging and Sensing 2016 2019-05-27

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