Publications 2019

[1] Raulf, A. P., Butke, J., Küpper, C., Großerueschkamp, F., Gerwert, K., & Mosig, A. (2019). Deep representation learning for domain adaptatable classification of infrared spectral imaging data. bioRxiv, 584227.

[2] Buchin, M., Mosig, A., & Selbach, L. Skeleton-based decomposition of simple polygons. EuroCG 2019, Utrecht.

[3] Schuhmacher, D., Gerwert, K., Mosig, A. A Generic Neural Network Approach to Infer Segmenting Classifiers for Disease-Associated Regions in Medical Image data. submitted. Compay2019

Publications 2018

[1] Krauß, S. D., Roy, R., Yosef, H. K., Lechtonen, T., El‐Mashtoly, S. F., Gerwert, K., & Mosig, A. (2018). Inside Cover: Hierarchical deep convolutional neural networks combine spectral and spatial information for highly accurate Raman‐microscopy‐based cytopathology (J. Biophotonics 10/2018). Journal of Biophotonics, 11(10), e201870163.

[2] Krauß, S. D., Roy, R., Yosef, H. K., Lechtonen, T., El‐Mashtoly, S. F., Gerwert, K., & Mosig, A. (2018). Hierarchical deep convolutional neural networks combine spectral and spatial information for highly accurate Raman‐microscopy‐based cytopathology. Journal of biophotonics, 11(10), e201800022.

Publications 2017

[1] Großerueschkamp, F., Bracht, T., Diehl, H. C., Kuepper, C., Ahrens, M., Kallenbach-Thieltges, A., ... & Brüning, T. (2017). Spatial and molecular resolution of diffuse malignant mesothelioma heterogeneity by integrating label-free FTIR imaging, laser capture microdissection and proteomics. Scientific Reports, 7.

[2] Yosef, H. K., Krauß, S. D., Lechtonen, T., Jütte, H., Tannapfel, A., Käfferlein, H. U., ... & Gerwert, K. (2017). Non-invasive diagnosis of high-grade urothelial carcinoma in urine by Raman spectral imaging. Analytical Chemistry, 89 (12), 6893–6899.

[3] Krauß, S. D., Yosef, H. K., Lechtonen, T., Jütte, H., Tannapfel, A., Käfferlein, H. U., ... & Gerwert, K. Integrating spatial, morphological, and textural information for improved cell type differentiation using Raman microscopy. Journal of Chemometrics.

Publications 2016

[1] Schmuck, M. R., Temme, T., Dach, K., de Boer, D., Barenys, M., Bendt, F., ... & Fritsche, E. (2016). Omnisphero: a high-content image analysis (HCA) approach for phenotypic developmental neurotoxicity (DNT) screenings of organoid neurosphere cultures in vitro. Archives of Toxicology, 1-12.

Publications 2015

[1]   Sascha D Krauß, Dennis Petersen, Daniel Niedieker, Inka Fricke, Erik Freier, Samir F El-Mashtoly, Klaus Gerwert, and Axel Mosig. Colocalization of fluorescence and raman microscopic images for the identification of subcellular compartments: a validation study. Analyst, 2015.

[2]   Xiaodong Qi, Dustin P Rand, Joshua D Podlevsky, Yang Li, Axel Mosig, Peter F Stadler, and Julian J-L Chen. Prevalent and distinct spliceosomal 3-end processing mechanisms for fungal telomerase rna. Nature communications, 6, 2015.

[3] Yang, C., Niedieker, D., Großerüschkamp, F., Horn, M., Tannapfel, A., Kallenbach-Thieltges, A., ... & Mosig, A. (2015). Fully automated registration of vibrational microspectroscopic images in histologically stained tissue sections. BMC bioinformatics, 16(1), 396.

Publications 2014

[1]   Samir F El-Mashtoly, Daniel Niedieker, Dennis Petersen, Sascha D Krauss, Erik Freier, Abdelouahid Maghnouj, Axel Mosig, Stephan Hahn, Carsten Kötting, and Klaus Gerwert. Automated identification of subcellular organelles by coherent anti-stokes raman scattering. Biophysical journal, 106(9):1910–1920, 2014.

[2]   Samir F El-Mashtoly, Dennis Petersen, Hesham K Yosef, Axel Mosig, Anke Reinacher-Schick, Carsten Kötting, and Klaus Gerwert. Label-free imaging of drug distribution and metabolism in colon cancer cells by raman microscopy. Analyst, 139(5):1155–1161, 2014.

[3]   Martin Schmuck, Thomas Temme, Sabrina Heinz, Christine Baksmeier, Axel Mosig, M Teresa Colomina, Marta Barenys, and Ellen Fritsche. Automatic counting and positioning of 5-bromo-2-deoxyuridine (brdu) positive cells in cortical layers of rat brain slices. Neurotoxicology, 2014.

Publications 2013

[1]   Angela Kallenbach-Thieltges, Frederik Großerüschkamp, Axel Mosig, Max Diem, Andrea Tannapfel, and Klaus Gerwert. Immunohistochemistry, histopathology and infrared spectral histopathology of colon cancer tissue sections. Journal of biophotonics, 6(1):88–100, 2013.

[2]   Laven Mavarani, Dennis Petersen, Samir F El-Mashtoly, Axel Mosig, Andrea Tannapfel, Carsten Kötting, and Klaus Gerwert. Spectral histopathology of colon cancer tissue sections by raman imaging with 532 nm excitation provides label free annotation of lymphocytes, erythrocytes and proliferating nuclei of cancer cells. Analyst, 138(14):4035–4039, 2013.

[3]   Chaofeng Wang, Cai-Ping Gui, Hai-Kuan Liu, Dong Zhang, and Axel Mosig. An image skeletonization-based tool for pollen tube morphology analysis and phenotypingf. Journal of integrative plant biology, 55(2):131–141, 2013.

[4]   Qiaoyong Zhong, Chen Yang, Frederik Großerüschkamp, Angela Kallenbach-Thieltges, Peter Serocka, Klaus Gerwert, and Axel Mosig. Similarity maps and hierarchical clustering for annotating ft-ir spectral images. BMC bioinformatics, 14(1):333, 2013.

Publications 2012

[1]   Xiaodong Qi, Yang Li, Shinji Honda, Steve Hoffmann, Manja Marz, Axel Mosig, Joshua D Podlevsky, Peter F Stadler, Eric U Selker, and Julian J-L Chen. The common ancestral core of vertebrate and fungal telomerase rnas. Nucleic acids research, 2012.

Publications 2011

[1]   Yan Li, Jin Guo, Chaofeng Wang, Zhichao Fan, Guangda Liu, Cheng Wang, Zhengqin Gu, David Damm, Axel Mosig, and Xunbin Wei. Circulation times of prostate cancer and hepatocellular carcinoma cells by in vivo flow cytometry. Cytometry Part A, 79(10):848–854, 2011.

[2]   Axel Mosig and Peter F Stadler. Evolution of vault rnas. eLS, 2011.

[3]   Vivek Thakur, Samart Wanchana, Mercedes Xu, Richard Bruskiewich, William P Quick, Axel Mosig, and Xin-Guang Zhu. Characterization of statistical features for plant microrna prediction. BMC genomics, 12(1):108, 2011.

[4]   Hang Xiao, Ying Li, Jiulin Du, and Axel Mosig. Ct3d: tracking microglia motility in 3d using a novel cosegmentation approach. Bioinformatics, 27(4):564–571, 2011.

[5]   Hang Xiao, Melvin Zhang, Axel Mosig, and Hon Wai Leong. Dynamic programming algorithms for efficiently computing cosegmentations between biological images. In Algorithms in Bioinformatics, pages 339–350. Springer Berlin Heidelberg, 2011.

Publications 2010

[1]   Guofeng Meng, Axel Mosig, and Martin Vingron. A computational evaluation of over-representation of regulatory motifs in the promoter regions of differentially expressed genes. BMC bioinformatics, 11(1):267, 2010.