Publications

Autoren Titel
2020
Dächert C, Gladilin E, Binder M Gene expression profiling of different Huh7 variants reveals novel Hepatitis C virus host Factors. Viruses 12 (2020) 36. doi.org/10.3390/v12010036
Gladilin E, Hierl T, Sterker I, Huempfner-Hierl H, Hemprich A, Krause M Retrospective cohort study of three-wall orbital resection for treatment of endocrine orbitopathy using 3D tomographic data and biomechanical modeling. Clin. Biomech. 71 (2020) 86-91. dx.doi.org/10.1016/j.clinbiomech.2019.10.015
2019
Abdel-Ghani A H, Sharma R, Wabila C, Dhanagond S, Owais S J, Duwayri M A, Al-Dalain S A, Klukas C, Chen D, Lübberstedt T, von Wirén N, Graner A, Kilian B, Neumann K Genome-wide association mapping in a diverse spring barley collection reveals the presence of QTL hotspots and candidate genes for root and shoot architecture traits at seedling stage. BMC Plant Biol. 19 (2019) 216. dx.doi.org/10.1186/s12870-019-1828-5
Gladilin E, Ohse S, Boerries M, Busch H, Xu C, Schneider M, Meister M, Eils R TGFβ-induced cytoskeletal remodeling mediates elevation of cell stiffness and invasiveness in NSCLC. Sci. Rep. 9 (2019) 7667. dx.doi.org/10.1038/s41598-019-43409-x
Henke M, Junker A, Neumann K, Altmann T, Gladilin E Comparison and extension of three methods for automated registration of multimodal plant images. Plant Methods 15 (2019) 44. dx.doi.org/10.1186/s13007-019-0426-8
Henke M, Junker A, Neumann K, Altmann T, Gladilin E Comparison of feature point detectors for multimodal image registration in plant phenotyping. PLoS One 14 (2019) e0221203. dx.doi.org/10.1371/journal.pone.0221203
Hitz T, Henke M, Graeff-Honninger S, Monz S Three-dimensional simulation of light spectrum and intensity within an LED growth chamber. Comput. Electron. Agric. 156 (2019) 540-548. dx.doi.org/10.1016/j.compag.2018.11.043
Narisetti N, Henke M, Seiler C, Shi R, Junker A, Altmann T, Gladilin E Semi-automated Root Image Analysis (saRIA). Sci. Rep. 9 (2019) 19674. dx.doi.org/10.1038/s41598-019-55876-3
2018
Chen D, Fu L Y, Hu D, Klukas C, Chen M, Kaufmann K The HTPmod Shiny application enables modeling and visualization of large-scale biological data. Commun. Biol. 1 (2018) 89. dx.doi.org/10.1038/s42003-018-0091-x
Chen D, Shi R, Pape J-M, Neumann K, Arend D, Graner A, Chen M, Klukas C Predicting plant biomass accumulation from image-derived parameters. GigaScience 7 (2018) 1-13. dx.doi.org/10.1093/gigascience/giy001
Coussement J, Henke M, Lootens P, Roldán-Ruiz I, Steppe K, de Swaef T Modelling leaf spectral properties in a soybean functional-structural plant model by integrating the prospect radiative transfer model. Ann. Bot. 122 (2018) 669-676. dx.doi.org/10.1093/aob/mcy105
Guo Z, Chen D, Röder M S, Ganal M W, Schnurbusch T Genetic dissection of pre-anthesis sub-phase durations during the reproductive spike development of wheat. Plant J. 95 (2018) 909-918. dx.doi.org/10.1111/tpj.13998
Guo Z, Chen D, Schnurbusch T Plant and floret growth at distinct developmental stages during the stem elongation phase in wheat. Front. Plant Sci. 9 (2018) 330. dx.doi.org/10.3389/fpls.2018.00330
Guo Z, Zhao Y, Röder M S, Reif J C, Ganal M W, Chen D, Schnurbusch T Manipulation and prediction of spike morphology traits for the improvement of grain yield in wheat. Sci. Rep. 8 (2018) 14435. dx.doi.org/10.1038/s41598-018-31977-3
Henke M, Junker A, Neumann K, Altmann T, Gladilin E Automated alignment of multi-modal plant images using integrative phase correlation approach. Front. Plant Sci. 9 (2018) 1519. dx.doi.org/10.3389/fpls.2018.01519
2017
Dreissig S, Schiml S, Schindele P, Weiss O, Rutten T, Schubert V, Gladilin E, Mette M F, Puchta H, Houben A Live cell CRISPR-imaging in plants reveals dynamic telomere movements. (The Plant Journal - 2017 Best Paper Award: Gold Prize in the category 'Technical Advance Article'). Plant J. 91 (2017) 565-573. dx.doi.org/10.1111/tpj.13601
Gladilin E Graph-theoretical model of global human interactome reveals enhanced long-range communicability in cancer networks. PLoS One 12 (2017) e0170953. dx.doi.org/10.1371/journal.pone.0170953
González-Avalos P, Mürnseer M, Deeg J, Bachmann A, Spatz J, Dooley S, Eils R, Gladilin E Quantification of substrate and cellular strains in stretchable 3D cell cultures: an experimental and computational framework. J. Microsc. 266 (2017) 115-125. dx.doi.org/10.1111/jmi.12520
Guo Z, Chen D, Alqudah A M, Röder M S, Ganal M W, Schnurbusch T Genome-wide association analyses of 54 traits identified multiple loci for the determination of floret fertility in wheat. New Phytol. 214 (2017) 257-270. dx.doi.org/10.1111/nph.14342
Henke M, Buck-Sorlin G H Using a full spectral raytracer for the modelling of light microclimate in a functional-structural plant model. Comput. Inform. 36 (2017) 1492-1522. dx.doi.org/10.4149/cai_2017_6_1492
Messica Y, Laser-Azogui A, Volberg T, Elisha Y, Lysakovskaia K, Eils R, Gladilin E, Geiger B, Beck R The role of vimentin in regulating cell invasive migration in dense cultures of breast carcinoma cells. Nano Lett. 17 (2017) 6941-6948. dx.doi.org/10.1021/acs.nanolett.7b03358
Muraya M M, Chu J, Zhao Y, Junker A, Klukas C, Reif J C, Altmann T Genetic variation of growth dynamics in maize (Zea mays L.) revealed through automated non-invasive phenotyping. Plant J. 89 (2017) 366–380. dx.doi.org/10.1111/tpj.13390
2016
Arend D, Lange M, Pape J-M, Weigelt-Fischer K, Arana-Ceballos F, Mücke I, Klukas C, Altmann T, Scholz U, Junker A Quantitative monitoring of Arabidopsis thaliana growth and development using high-throughput plant phenotyping. Scientific Data 3 (2016) 160055. dx.doi.org/10.1038/sdata.2016.55
Ćwiek-Kupczyńska H, Altmann T, Arend D, Arnaud E, Chen D, Cornut G, Fiorani F, Frohmberg W, Junker A, Klukas C, Lange M, Mazurek C, Nafissi A, Neveu P, van Oeveren J, Pommier C, Poorter H, Rocca-Serra P, Sansone S-A, Scholz U, van Schriek M, Seren Ü, Usadel B, Weise S, Kersey P, Krajewski P Measures for interoperability of phenotypic data: minimum information requirements and formatting. Plant Methods 12 (2016) 44. dx.doi.org/10.1186/s13007-016-0144-4
Pape J-M Ein Klassifikationssystem zur quantitativen Analyse von Krankheitssymptomen im Kontext der Hochdurchsatz-Phänotypisierung von Pflanzen. (Master Thesis) Magdeburg, Fakultät für Informatik, Otto-von-Guericke-Universität (2016) 84 pp.
Scharr H, Minervini M, French A P, Klukas C, Kramer D M, Liu X, Luengo I, Pape J-M, Polder G, Vukadinovic D, Yin X, Tsaftaris S A Leaf segmentation in plant phenotyping: a collation study. Mach. Vision Appl. 27 (2016) 585-606. dx.doi.org/10.1007/s00138-015-0737-3