Imaging Machine – Applications 

  • Zilova, L., Weinhardt, V., Tavhelidse, T., Thumberger, T., Wittbrodt, J. (2021). Fish primary embryonic stem cells self-assemble into retinal tissue mirroring in vivo early eye development bioRxiv 2021.01.28.428593
  • Hammouda, O.T., Wu M. Y., Kaul, V., Thumberger, T., Wittbrodt, J. (2021). In vivo identification and validation of novel potential predictors for human cardiovascular diseases. bioRxiv 2021.02.03.429563.
  • Steenbergen, P. J., Heigwer, J., Pandey, G., Tönshoff, B., Gehrig, J., Westhoff, J. H. (2020). A Multiparametric Assay Platform for Simultaneous In Vivo Assessment of Pronephric Morphology, Renal Function and Heart Rate in Larval Zebrafish. Cells, 9(5), 1269.
  • Westhoff, J. H., Steenbergen, P. J., Thomas, L. S., Heigwer, J., Bruckner, T., Cooper, L., Tönshoff, B., Hoffmann, GF., Gehrig, J. (2020). In vivo high-content screening in zebrafish for developmental nephrotoxicity of approved drugs. Front. Cell Dev. Biol. 8:583.
  • Böffert, R., Businger, R., Preiß, H., Ehmann, D., Truffault, V., Simon, C., Ruetalo, N., Hamprecht, K., Müller, P., Wehkamp, J., Schindler, M. (2020). The human α-defensin-derived peptide HD5 (1–9) inhibits cellular attachment and entry of human cytomegalovirus. Antiviral Research, 104779.
  • Gierten, J., Pylatiuk, C., Hammouda, O. T., Schock, C., Stegmaier, J., Wittbrodt, J., Gehrig, J., Loosli, F. (2020). Automated high-throughput heartbeat quantification in medaka and zebrafish embryos under physiological conditions. Scientific Reports, 10(1), 1-12.  
  • Lischik, C. Q., Adelmann, L., & Wittbrodt, J. (2019). Enhanced in vivo-imaging in medaka by optimized anaesthesia, fluorescent protein selection and removal of pigmentation. PloS one, 14(3). 
  • Hammouda, O. T., Böttger, F., Wittbrodt, J., Thumberger, T. (2019). Swift Large-scale Examination of Directed Genome Editing. PloS one, 14(3). 
  • Pandey, G., Westhoff, J. H., Schaefer, F., Gehrig, J. (2019). A smart imaging workflow for organ-specific screening in a cystic kidney zebrafish disease model. International journal of molecular sciences, 20(6), 1290.  
  • Schendzielorz, A. B., Schulz, C., Lytovchenko, O., Clancy, A., Guiard, B., Ieva, R., van der Laan, M., Rehling, P. (2017). Two distinct membrane potential–dependent steps drive mitochondrial matrix protein translocation. Journal of Cell Biology, 216(1), 83-92. 
  • Rivera-Monroy, J., Musiol, L., Unthan-Fechner, K., Farkas, Á., Clancy, A., Coy-Vergara, J., Weill, U.,  Gockel, S., Lin, S.Y., Corey, D.P., Kohl, T., Ströbel, P., Schuldiner, M., Schwappach, B., Vilardi, F. (2016). Mice lacking WRB reveal differential biogenesis requirements of tail-anchored proteins in vivo. Scientific reports, 6, 39464. 

Other relevant publications by ACQUIFER staff 

  • Thomas, L.S.V., Schaefer, F., Gehrig J. (2020). Fiji plugins for qualitative image annotations: routine analysis and application to image classification. F1000Research 2020, 9:1248.
  • Thomas, L. S. V., Gehrig, J. (2020). Multi-Template Matching: a versatile tool for object-localization in microscopy images. BMC bioinformatics, 21(1), 1-8. 
  • Thomas L. S. V., Gehrig, J. (2020) ImageJ/Fiji ROI 1-click tools for rapid manual image annotations and measurements. microPublication Biology  
  • Gehrig, J., Pandey, G., Westhoff, J. H. (2018). Zebrafish as a model for drug screening in genetic kidney diseases. Frontiers in pediatrics, 6, 183. 
  • Wittbrodt, J. N., Liebel, U., Gehrig, J. (2014). Generation of orientation tools for automated zebrafish screening assays using desktop 3D printing. BMC biotechnology, 14(1), 36. 
  • Westhoff, J. H., Giselbrecht, S., Schmidts, M., Schindler, S., Beales, P. L., Tönshoff, B., Liebel, U., Gehrig, J. (2013). Development of an automated imaging pipeline for the analysis of the zebrafish larval kidney. PLoS One, 8(12).