Anna Klemm

Anna Klemm Head of BioImage Informatics Facility

bioimage analysis, microscopy, open source software, Fiji, CellProfiler, QuPath, Python
phone 072-701 06 55

Anna is heading the BioImage Informatics Facility, BIIF. She offers bioimage analysis support and training to life scientists, using mainly free and open-source software tools (Fiji, CellProfiler, QuPath, Python). Anna has an interdisciplinary background in cell biology, microscopy, and bioimage analysis.

Selected publications

Behanova, A., Klemm, A., and Wählby, C. (2022) Spatial Statistics for Understanding Tissue Organization. Frontiers in Physiology, 13.

Dobson, E. T. A., Cimini, B., Klemm, A. H., Wählby, C., Carpenter, A. E., and Eliceiri, K. W. (2021) ImageJ and CellProfiler: Complements in Open-Source Bioimage Analysis. Current Protocols, 1, e89.

Martins, G. G., Cordelières, F. P., Colombelli, J., D’Antuono, R., Golani, O., Guiet, R., Haase, R., Klemm, A. H., Louveaux, M., Paul-Gilloteaux, P., Tinevez, J.-Y., and Miura, K. (2021) Highlights from the 2016-2020 NEUBIAS training schools for Bioimage Analysts: a success story and key asset for analysts and life scientists. F1000Research, 10, 334.

Solorzano, L., Wik, L., Olsson Bontell, T., Wang, Y., Klemm, A. H., Öfverstedt, J., Jakola, A. S., Östman, A., and Wählby, C. Machine learning for cell classification and neighborhood analysis in glioma tissue. Cytometry Part A, n/a.

Paul-Gilloteaux, P., Tosi, S., Hériché, J.-K., Gaignard, A., Ménager, H., Marée, R., Baecker, V., Klemm, A., Kalaš, M., Zhang, C., Miura, K., and Colombelli, J. (2021) Bioimage analysis workflows: community resources to navigate through a complex ecosystem. F1000Research, 10, 320.

Partel, G., Hilscher, M. M., Milli, G., Solorzano, L., Klemm, A. H., Nilsson, M., and Wählby, C. (2020) Automated identification of the mouse brain’s spatial compartments from in situ sequencing data. BMC Biology, 18, 144.

Gupta, A., Harrison, P. J., Wieslander, H., Pielawski, N., Kartasalo, K., Partel, G., Solorzano, L., Suveer, A., Klemm, A. H., Spjuth, O., Sintorn, I.-M., and Wählby, C. (2019) Deep Learning in Image Cytometry: A Review. Cytometry Part A, 95, 366–380.

Kajtez, J., Solomatina, A., Novak, M., Polak, B., Vukušić, K., Rüdiger, J., Cojoc, G., Milas, A., Šumanovac Šestak, I., Risteski, P., Tavano, F., Klemm, A. H., Roscioli, E., Welburn, J., Cimini, D., Glunčić, M., Pavin, N., and Tolić, I. M. (2016) Overlap microtubules link sister k-fibres and balance the forces on bi-oriented kinetochores. Nature Communications, 7, 10298.

Klemm, A. H., Bosilj, A., Gluncˇic´, M., Pavin, N., and Tolic´, I. M. (2018) Metaphase kinetochore movements are regulated by kinesin-8 motors and microtubule dynamic instability. Molecular Biology of the Cell, 29, 1332–1345.

Cojoc, G., Florescu, A.-M., Krull, A., Klemm, A. H., Pavin, N., Jülicher, F., and Tolić, I. M. (2016) Paired arrangement of kinetochores together with microtubule pivoting and dynamics drive kinetochore capture in meiosis I. Scientific Reports, 6, 25736.

Kalinina, I., Nandi, A., Delivani, P., Chacón, M. R., Klemm, A. H., Ramunno-Johnson, D., Krull, A., Lindner, B., Pavin, N., and Tolić-Nørrelykke, I. M. (2013) Pivoting of microtubules around the spindle pole accelerates kinetochore capture. Nature Cell Biology, 15, 82–87.