Anna Klemm
Bioinformatiker vid Institutionen för informationsteknologi; Vi3; Bildanalys
- E-post:
- anna.klemm@it.uu.se
- Besöksadress:
- Hus 10, Regementsvägen 10
- Postadress:
- Box 337
751 05 UPPSALA
- Akademiska meriter:
- Docent
Nyckelord
- light microscopy
- cell biology
- bioimage analysis
- quantitative biology

Publikationer
Urval av publikationer
A method for Boolean analysis of protein interactions at a molecular level
Ingår i Nature Communications, 2022
- DOI för A method for Boolean analysis of protein interactions at a molecular level
- Ladda ner fulltext (pdf) av A method for Boolean analysis of protein interactions at a molecular level
Spatial Statistics for Understanding Tissue Organization
Ingår i Frontiers in Physiology, 2022
- DOI för Spatial Statistics for Understanding Tissue Organization
- Ladda ner fulltext (pdf) av Spatial Statistics for Understanding Tissue Organization
Ingår i Journal of Pathology, s. 4-11, 2022
- DOI för Automated detection of vascular remodeling in human tumor draining lymph nodes by the deep learning tool HEV-finder
- Ladda ner fulltext (pdf) av Automated detection of vascular remodeling in human tumor draining lymph nodes by the deep learning tool HEV-finder
A Hitchhiker's guide through the bio‐image analysis software universe
Ingår i FEBS Letters, s. 2472-2485, 2022
- DOI för A Hitchhiker's guide through the bio‐image analysis software universe
- Ladda ner fulltext (pdf) av A Hitchhiker's guide through the bio‐image analysis software universe
Deep Learning in Image Cytometry: A Review
Ingår i Cytometry Part A, s. 366-380, 2019
- DOI för Deep Learning in Image Cytometry: A Review
- Ladda ner fulltext (pdf) av Deep Learning in Image Cytometry: A Review
Ingår i Molecular Biology of the Cell, s. 1332-1345, 2018
Senaste publikationer
The crucial role of bioimage analysts in scientific research and publication
Ingår i Journal of Cell Science, 2024
- DOI för The crucial role of bioimage analysts in scientific research and publication
- Ladda ner fulltext (pdf) av The crucial role of bioimage analysts in scientific research and publication
Ingår i Heliyon, 2023
- DOI för TissUUmaps 3: Improvements in interactive visualization, exploration, and quality assessment of large-scale spatial omics data
- Ladda ner fulltext (pdf) av TissUUmaps 3: Improvements in interactive visualization, exploration, and quality assessment of large-scale spatial omics data
Visualization and quality control tools for large-scale multiplex tissue analysis in TissUUmaps3
Ingår i Biological Imaging, 2023
A method for Boolean analysis of protein interactions at a molecular level
Ingår i Nature Communications, 2022
- DOI för A method for Boolean analysis of protein interactions at a molecular level
- Ladda ner fulltext (pdf) av A method for Boolean analysis of protein interactions at a molecular level
Spatial Statistics for Understanding Tissue Organization
Ingår i Frontiers in Physiology, 2022
- DOI för Spatial Statistics for Understanding Tissue Organization
- Ladda ner fulltext (pdf) av Spatial Statistics for Understanding Tissue Organization
Alla publikationer
Artiklar i tidskrift
The crucial role of bioimage analysts in scientific research and publication
Ingår i Journal of Cell Science, 2024
- DOI för The crucial role of bioimage analysts in scientific research and publication
- Ladda ner fulltext (pdf) av The crucial role of bioimage analysts in scientific research and publication
Ingår i Heliyon, 2023
- DOI för TissUUmaps 3: Improvements in interactive visualization, exploration, and quality assessment of large-scale spatial omics data
- Ladda ner fulltext (pdf) av TissUUmaps 3: Improvements in interactive visualization, exploration, and quality assessment of large-scale spatial omics data
Visualization and quality control tools for large-scale multiplex tissue analysis in TissUUmaps3
Ingår i Biological Imaging, 2023
A method for Boolean analysis of protein interactions at a molecular level
Ingår i Nature Communications, 2022
- DOI för A method for Boolean analysis of protein interactions at a molecular level
- Ladda ner fulltext (pdf) av A method for Boolean analysis of protein interactions at a molecular level
Ingår i Frontiers in cell and developmental biology, 2022
- DOI för SLC38A10 Regulate Glutamate Homeostasis and Modulate the AKT/TSC2/mTOR Pathway in Mouse Primary Cortex Cells
- Ladda ner fulltext (pdf) av SLC38A10 Regulate Glutamate Homeostasis and Modulate the AKT/TSC2/mTOR Pathway in Mouse Primary Cortex Cells
Ingår i Journal of Pathology, s. 4-11, 2022
- DOI för Automated detection of vascular remodeling in human tumor draining lymph nodes by the deep learning tool HEV-finder
- Ladda ner fulltext (pdf) av Automated detection of vascular remodeling in human tumor draining lymph nodes by the deep learning tool HEV-finder
Machine learning for cell classification and neighborhood analysis in glioma tissue
Ingår i Cytometry Part A, s. 1176-1186, 2021
- DOI för Machine learning for cell classification and neighborhood analysis in glioma tissue
- Ladda ner fulltext (pdf) av Machine learning for cell classification and neighborhood analysis in glioma tissue
ImageJ and CellProfiler: Complements in Open‐Source Bioimage Analysis
Ingår i Current Protocols in Microbiology, 2021
Ingår i F1000 Research, s. 334-334, 2021
- DOI för Highlights from the 2016-2020 NEUBIAS training schools for Bioimage Analysts: a success story and key asset for analysts and life scientists
- Ladda ner fulltext (pdf) av Highlights from the 2016-2020 NEUBIAS training schools for Bioimage Analysts: a success story and key asset for analysts and life scientists
Bioimage analysis workflows: community resources to navigate through a complex ecosystem
Ingår i F1000 Research, s. 320-320, 2021
Automated identification of the mouse brain’s spatial compartments from in situ sequencing data
Ingår i BMC Biology, 2020
- DOI för Automated identification of the mouse brain’s spatial compartments from in situ sequencing data
- Ladda ner fulltext (pdf) av Automated identification of the mouse brain’s spatial compartments from in situ sequencing data
TrackMate - My Favorite Image Analysis Tool, by Neubias Members
Ingår i Imaging & Microscopy, 2020
Ingår i Molecular and Cellular Biochemistry, s. 41-51, 2019
Tracking Microscope Performance: A Workflow to Compare Point Spread Function Evaluations Over Time
Ingår i Microscopy and Microanalysis, s. 699-704, 2019
Ingår i Molecular Biology of the Cell, s. 1332-1345, 2018
Pumilio2-deficient mice show a predisposition for epilepsy.
Ingår i Disease Models and Mechanisms, s. 1333-1342, 2017
Overlap microtubules link sister k-fibres and balance the forces on bi-oriented kinetochores.
Ingår i Nature Communications, 2016
Ingår i Scientific Reports, 2016
Pivoting of microtubules around the spindle pole accelerates kinetochore capture.
Ingår i Nature Cell Biology, s. 82-7, 2013
Focal adhesion kinase stabilizes the cytoskeleton.
Ingår i Biophysical Journal, s. 2131-8, 2011
The influence of Pyk2 on the mechanical properties in fibroblasts.
Ingår i Biochemical and Biophysical Research Communications - BBRC, s. 694-7, 2010
Ingår i Biochemical and Biophysical Research Communications - BBRC, s. 799-801, 2009
Thermodynamic evidence of non-muscle myosin II-lipid-membrane interaction.
Ingår i Biochemical and Biophysical Research Communications - BBRC, s. 500-5, 2008
CapZ-lipid membrane interactions: a computer analysis.
Ingår i Theoretical Biology and Medical Modelling, 2006
Mechano-chemical signaling in F9 cells.
Ingår i Cell Biology International, s. 755-9, 2006
Artiklar, forskningsöversikt
Spatial Statistics for Understanding Tissue Organization
Ingår i Frontiers in Physiology, 2022
- DOI för Spatial Statistics for Understanding Tissue Organization
- Ladda ner fulltext (pdf) av Spatial Statistics for Understanding Tissue Organization
A Hitchhiker's guide through the bio‐image analysis software universe
Ingår i FEBS Letters, s. 2472-2485, 2022
- DOI för A Hitchhiker's guide through the bio‐image analysis software universe
- Ladda ner fulltext (pdf) av A Hitchhiker's guide through the bio‐image analysis software universe
Deep Learning in Image Cytometry: A Review
Ingår i Cytometry Part A, s. 366-380, 2019
- DOI för Deep Learning in Image Cytometry: A Review
- Ladda ner fulltext (pdf) av Deep Learning in Image Cytometry: A Review