Anna Klemm
Bioinformatician at Institutionen för informationsteknologi; Vi3; Bildanalys
- Fax:
- +46 18 471 28 68
- E-mail:
- anna.klemm@it.uu.se
- Visiting address:
- Hus 10, Lägerhyddsvägen 1
- Postal address:
- Box 337
751 05 UPPSALA
- Academic merits:
- Docent
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Short presentation
I am Head of the BioImage Informatics Facility (BIIF), SciLifeLab/NBIS. BIIF provides the support and training to perform state-of-the-art analyses on image data. Our experts can help deploy computational methods using computer vision, machine learning, and bioinformatics to analyze images.
More information: https://www.scilifelab.se/facilities/bioimage-informatics/
Keywords
- bioimage analysis
- cell biology
- light microscopy
- quantitative biology
Biography
I received my PhD degree in cellular Biophysics at the University Erlangen-Nürnberg, Germany in 2010. I then pursued my postdoctoral work at the Max-Planck-Institute for Cell Biology and Genetic in Dresden, Germany, where I studied mitotic chromosome movements using microscopy and image analysis. From 2015-2018 I worked as a microscopist and bioimage analyst at the Core Facility BioImaging at the Biomedical Center in Munich, Germany. Since March 2018 I am working at the BioImage Informatics Facility of SciLifeLab.
Publications
Selection of publications
- Spatial Statistics for Understanding Tissue Organization (2022)
- Automated detection of vascular remodeling in human tumor draining lymph nodes by the deep learning tool HEV-finder (2022)
- A Hitchhiker's guide through the bio‐image analysis software universe (2022)
- A method for Boolean analysis of protein interactions at a molecular level (2022)
- Deep Learning in Image Cytometry (2019)
- Metaphase kinetochore movements are regulated by kinesin-8 motors and microtubule dynamic instability. (2018)
Recent publications
- Visualization and quality control tools for large-scale multiplex tissue analysis in TissUUmaps3 (2023)
- TissUUmaps 3 (2023)
- Spatial Statistics for Understanding Tissue Organization (2022)
- Automated detection of vascular remodeling in human tumor draining lymph nodes by the deep learning tool HEV-finder (2022)
- A Hitchhiker's guide through the bio‐image analysis software universe (2022)
All publications
Articles
- Visualization and quality control tools for large-scale multiplex tissue analysis in TissUUmaps3 (2023)
- TissUUmaps 3 (2023)
- Spatial Statistics for Understanding Tissue Organization (2022)
- Automated detection of vascular remodeling in human tumor draining lymph nodes by the deep learning tool HEV-finder (2022)
- A Hitchhiker's guide through the bio‐image analysis software universe (2022)
- A method for Boolean analysis of protein interactions at a molecular level (2022)
- SLC38A10 Regulate Glutamate Homeostasis and Modulate the AKT/TSC2/mTOR Pathway in Mouse Primary Cortex Cells (2022)
- ImageJ and CellProfiler (2021)
- Highlights from the 2016-2020 NEUBIAS training schools for Bioimage Analysts (2021)
- Bioimage analysis workflows: community resources to navigate through a complex ecosystem (2021)
- Machine learning for cell classification and neighborhood analysis in glioma tissue (2021)
- TrackMate - My Favorite Image Analysis Tool, by Neubias Members (2020)
- Automated identification of the mouse brain’s spatial compartments from in situ sequencing data (2020)
- Deep Learning in Image Cytometry (2019)
- Tracking Microscope Performance (2019)
- Estimating hemodynamic shear stress in murine peripheral collateral arteries by two-photon line scanning (2019)
- Metaphase kinetochore movements are regulated by kinesin-8 motors and microtubule dynamic instability. (2018)
- Pumilio2-deficient mice show a predisposition for epilepsy. (2017)
- Paired arrangement of kinetochores together with microtubule pivoting and dynamics drive kinetochore capture in meiosis I. (2016)
- Overlap microtubules link sister k-fibres and balance the forces on bi-oriented kinetochores. (2016)
- Pivoting of microtubules around the spindle pole accelerates kinetochore capture. (2013)
- Focal adhesion kinase stabilizes the cytoskeleton. (2011)
- The influence of Pyk2 on the mechanical properties in fibroblasts. (2010)
- Comparing the mechanical influence of vinculin, focal adhesion kinase and p53 in mouse embryonic fibroblasts. (2009)
- Thermodynamic evidence of non-muscle myosin II-lipid-membrane interaction. (2008)
- Mechano-chemical signaling in F9 cells. (2006)
- CapZ-lipid membrane interactions (2006)
- Identification of spatial compartments in tissue from in situ sequencing data
- TissUUmaps 3
Reports
