Opendata, web and dolomites


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.

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

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

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "COMBIOSCOPY" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email ( and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "COMBIOSCOPY" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)


Dynamic Modeling of Labor Market Mobility and Human Capital Accumulation

Read More  


The Mass Politics of Disintegration

Read More  

InsideChromatin (2019)

Towards Realistic Modelling of Nucleosome Organization Inside Functional Chromatin Domains

Read More