• Participation in “Cells in Motion”

    • Research interests: biomedical image analysis, image restauration, tracking algorithms and motion analysis, machine and deep learning for image understanding, behavioural analysis, imaging systems development
    • Supervisor in the CiM-IMPRS Graduate Programme
  • Papers in the research focus “cell dynamics and imaging”


    Bauer N, Beckmann D, Reinhardt D, Frost N, Bobe S, Erapaneedi R, Risse B, Kiefer F. Therapy-induced modulation of tumor vasculature and oxygenation in a murine glioblastoma model quantified by deep learning-based feature extraction. Sci Rep 2024;14: 2034. Abstract
    Kockwelp J, Thiele S, Bartsch J, Haalck L, Gromoll J, Schlatt S, Exeler R, Bleckmann A, Lenz G, Wolf S, Steffen B, Berdel WE, Schliemann C, Risse B, Angenendt L. Deep learning predicts therapy-relevant genetics in acute myeloid leukemia from Pappenheim-stained bone marrow smears. Blood Adv 2024;8: 70-79. Abstract


    Kockwelp J, Thiele S, Kockwelp P, Bartsch J, Schliemann C, Angenendt L, Risse B. Cell Selection-based Data Reduction Pipeline for Whole Slide Image Analysis of Acute Myeloid Leukemia. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2023: 1824-1833. Abstract


    Bobe S, Beckmann D, Klump DM, Dierkes C, Kirschnick N, Redder E, Bauer N, Schafers M, Erapaneedi R, Risse B, van de Pavert SA, Kiefer F. Volumetric imaging reveals VEGF-C-dependent formation of hepatic lymph vessels in mice. Front Cell Dev Biol 2022;10: 949896. Abstract


    Bian A, Jiang X, Berh D, Risse B. Resolving Colliding Larvae by Fitting ASM to Random Walker-Based Pre-Segmentations. IEEE/ACM Trans Comput Biol Bioinform 2021;18: 1184-1194. Abstract


    Berh D, Scherzinger A, Otto N, Jiang X, Klambt C, Risse B. Automatic non-invasive heartbeat quantification of Drosophila pupae. Comput Biol Med 2018;93: 189-199. Abstract
    Otto N, Marelja Z, Schoofs A, Kranenburg H, Bittern J, Yildirim K, Berh D, Bethke M, Thomas S, Rode S, Risse B, Jiang X, Pankratz M, Leimkuhler S, Klambt C. The sulfite oxidase Shopper controls neuronal activity by regulating glutamate homeostasis in Drosophila ensheathing glia. Nat Commun 2018;9: 3514. Abstract


    Almeida-Carvalho MJ, Berh D, Braun A, Chen Y-C, Eichler K, Eschbach C, Fritsch PMJ, Gerber B, Hoyer N, Jiang X, Kleber J, Klambt C, Konig C, Louis M, Michels B, Miroschnikow A, Mirth C, Miura D, Niewalda T, Otto N, Paisios E, Pankratz MJ, Petersen M, Ramsperger N, Randel N, Risse B, Saumweber T, Schlegel P, Schleyer M, Soba P, Sprecher SG, Tanimura T, Thum AS, Toshima N, Truman JW, Yarali A, Zlatic M. The Ol1mpiad: concordance of behavioural faculties of stage 1 and stage 3 Drosophila larvae. J Exp Biol 2017;220: 2452-2475. Abstract
    Berh D, Risse B, Michels T, Otto N, Jiang X, Klambt C. An FIM-Based Long-Term In-Vial Monitoring System for Drosophila Larvae. IEEE Trans. Biomed. Eng. 2017;64: 1862-1874. Abstract
    Risse B, Berh D, Otto N, Klambt C, Jiang X. FIMTrack: An open source tracking and locomotion analysis software for small animals. PLoS Comput Biol 2017;13: e1005530. Abstract
    Risse B, Otto N, Berh D, Jiang X, Kiel M, Klambt C. FIM2c : A Multi-Colour, Multi-Purpose Imaging System to Manipulate and Analyse Animal Behaviour. IEEE Trans Biomed Eng 2017;64: 610-620. Abstract


    Otto N, Risse B, Berh D, Bittern J, Jiang X, Klambt C. Interactions among Drosophila larvae before and during collision. Sci Rep 2016;6: 31564. Abstract


    Risse B, Berh D, Otto N, Jiang X, Klambt C. Quantifying subtle locomotion phenotypes of Drosophila larvae using internal structures based on FIM images. Comput Biol Med 2015;63: 269-276. Abstract


    Lammel U, Bechtold M, Risse B, Berh D, Fleige A, Bunse I, Jiang X, Klambt C, Bogdan S. The Drosophila FHOD1-like formin Knittrig acts through Rok to promote stress fiber formation and directed macrophage migration during the cellular immune response. Development 2014;141: 1366-1380. Abstract
    Risse B, Otto N, Berh D, Jiang X, Klambt C. FIM imaging and FIMtrack: two new tools allowing high-throughput and cost effective locomotion analysis. J Vis Exp 2014: e52207. Abstract


    Jiang X, Dawood M, Gigengack F, Risse B, Schmid S, Tenbrinck D, Schäfers K. Biomedical imaging: A computer vision perspective. Lect Notes Comput Sc 2013;8047: 1-19. Abstract
    Risse B, Thomas S, Otto N, Lopmeier T, Valkov D, Jiang X, Klambt C. FIM, a novel FTIR-based imaging method for high throughput locomotion analysis. PLoS One 2013;8: e53963. Abstract
    Sander M, Squarr AJ, Risse B, Jiang X, Bogdan S. Drosophila pupal macrophages--a versatile tool for combined ex vivo and in vivo imaging of actin dynamics at high resolution. Eur J Cell Biol 2013;92: 349-354. Abstract