Publikationen

Autoren Titel
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
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
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
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
Chen D, Shi R, Pape J-M, Klukas C Predicting plant biomass accumulation from image-derived parameters. bioRxiv (2016) dx.doi.org/10.1101/046656
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
2015
Castellini A, Edlich-Muth C, Muraya M, Klukas C, Altmann T, Selbig J Towards a graph-theoretic approach to hybrid performance prediction from large-scale phenotypic data. In: Lones M, Tyrrell A, Smith S, Fogel G (Eds.): Information Processing in Cells and Tissues.10th International Conference, IPCAT 2015, San Diego, CA, USA, September 14-16, 2015, Proceedings. (Series: Lecture Notes in Computer Science, Vol. 9303) Cham: Springer (2015) 173-184. dx.doi.org/10.1007/978-3-319-23108-2_15 ISBN 978-3-319-23107-5
Guo Z, Chen D, Schnurbusch T Variance components, heritability and correlation analysis of anther and ovary size during the floral development of bread wheat. J. Exp. Bot. 66 (2015) 3099-3111. dx.doi.org/10.1093/jxb/erv117
Junker A, Muraya M M, Weigelt-Fischer K, Arana-Ceballos F, Klukas C, Melchinger A E, Meyer R C, Riewe D, Altmann T Optimizing experimental procedures for quantitative evaluation of crop plant performance in high throughput phenotyping systems. Front. Plant Sci. 5 (2015) 770. dx.doi.org/10.3389/fpls.2014.00770
Krajewski P, Chen D, Ćwiek H, van Dijk A D J, Fiorani F, Kersey P, Klukas C, Lange M, Markiewicz A, Nap J P, van Oeveren J, Pommier C, Scholz U, van Schriek M, Usadel B, Weise S Towards recommendations for metadata and data handling in plant phenotyping. J. Exp. Bot. 66 (2015) 5417-5427. dx.doi.org/10.1093/jxb/erv271
Muscolo A, Junker A, Klukas C, Weigelt-Fischer K, Riewe D, Altmann T Phenotypic and metabolic responses to drought and salinity of four contrasting lentil accessions. J. Exp. Bot. 66 (2015) 5467-5480. dx.doi.org/10.1093/jxb/erv208
Neumann K, Klukas C, Friedel S, Rischbeck P, Chen D, Entzian A, Stein N, Graner A, Kilian B Dissecting spatio-temporal biomass accumulation in barley under different water regimes using high-throughput image analysis. Plant Cell Environ. 38 (2015) 1980-1996. dx.doi.org/10.1111/pce.12516
Pape J M, Klukas C Utilizing machine learning approaches to improve the prediction of leaf counts and individual leaf segmentation of rosette plant images. In: Tsaftaris S A, Scharr H, Pridmore T (Eds.): Proceedings of the Computer Vision Problems in Plant Phenotyping (CVPPP). : BMVA Press (2015) 3.1-3.12. dx.doi.org/10.5244/C.29.CVPPP.3 ISBN 1-901725-55-3
Pape J M, Klukas C 3-D histogram-based segmentation and leaf detection for rosette plants. In: Fleet D, Pajdla T, Schiele B, Tuytelaars T (Eds.): Computer Vision – ECCV 2014 Workshops: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, proceedings, part IV (Series: Lecture Notes in Computer Science) Cham: Springer (2015) 61-74. doi.org/10.1007/978-3-319-16220-1_5 ISBN 978-3-319-16219-5
Rahaman M M, Chen D, Gillani Z, Klukas C, Chen M Advanced phenotyping and phenotype data analysis for the study of plant growth and development. Front. Plant Sci. 6 (2015) 619. dx.doi.org/10.3389/fpls.2015.00619
Schilling S, Gramzow L, Lobbes D, Kirbis A, Weilandt L, Hoffmeier A, Junker A, Weigelt-Fischer K, Klukas C, Wu F, Meng Z, Altmann T, Theissen G Non-canonical structure, function and phylogeny of the B MADS-box gene OsMADS30 of rice (Oryza sativa). Plant J. 84 (2015) 1059-1072. dx.doi.org/10.1111/tpj.13055
Yuan C, Wang J, Harrison A P, Meng X, Chen D, Chen M Genome-wide view of natural antisense transcripts in Arabidopsis thaliana. DNA Res. 22 (2015) 233-243. dx.doi.org/10.1093/dnares/dsv008