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Klas E G Magnusson

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IEEE Transactions on Medical Imaging|November 22, 2014
Global linking of cell tracks using the Viterbi algorithmKlas E G Magnusson, Joakim Jalden, Penney M Gilbert, et al.
Scientific Reports|July 25, 2019
A collagen-based microwell migration assay to study NK-target cell interactionsPer E Olofsson, Ludwig Brandt, Klas E G Magnusson, et al.
Integrative Biology : Quantitative Biosciences From Nano to Macro|February 14, 2012
A single cell bioengineering approach to elucidate mechanisms of adult stem cell self-renewalPenney M Gilbert, Stephane Corbel, Regis Doyonnas, et al.
NPJ Regenerative Medicine|January 13, 2023
Machine learning-based classification of dual fluorescence signals reveals muscle stem cell fate transitions in response to regenerative niche factorsMatteo Togninalli, Andrew T V Ho, Christopher M Madl, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 14, 2017
Prostaglandin E2 is essential for efficacious skeletal muscle stem-cell function, augmenting regeneration and strengthAndrew T V Ho, Adelaida R Palla, Matthew R Blake, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 6, 2018
Engineered DNA plasmid reduces immunity to dystrophin while improving muscle force in a model of gene therapy of Duchenne dystrophyPeggy P Ho, Lauren J Lahey, Foteini Mourkioti, et al.
Bioinformatics (Oxford, England)|February 15, 2014
A benchmark for comparison of cell tracking algorithmsMartin Maška, Vladimír Ulman, David Svoboda, et al.
Nature Methods|January 21, 2014
Objective comparison of particle tracking methodsNicolas Chenouard, Ihor Smal, Fabrice de Chaumont, et al.
Nature Methods|October 31, 2017
An objective comparison of cell-tracking algorithmsVladimír Ulman, Martin Maška, Klas E G Magnusson, et al.
Nature Methods|May 18, 2023
The Cell Tracking Challenge: 10 years of objective benchmarkingMartin Maška, Vladimír Ulman, Pablo Delgado-Rodriguez, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Medical Imaging|November 22, 2014
Global linking of cell tracks using the Viterbi algorithmKlas E G Magnusson, Joakim Jalden, Penney M Gilbert, et al.
Scientific Reports|July 25, 2019
A collagen-based microwell migration assay to study NK-target cell interactionsPer E Olofsson, Ludwig Brandt, Klas E G Magnusson, et al.
Integrative Biology : Quantitative Biosciences From Nano to Macro|February 14, 2012
A single cell bioengineering approach to elucidate mechanisms of adult stem cell self-renewalPenney M Gilbert, Stephane Corbel, Regis Doyonnas, et al.
NPJ Regenerative Medicine|January 13, 2023
Machine learning-based classification of dual fluorescence signals reveals muscle stem cell fate transitions in response to regenerative niche factorsMatteo Togninalli, Andrew T V Ho, Christopher M Madl, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 14, 2017
Prostaglandin E2 is essential for efficacious skeletal muscle stem-cell function, augmenting regeneration and strengthAndrew T V Ho, Adelaida R Palla, Matthew R Blake, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 6, 2018
Engineered DNA plasmid reduces immunity to dystrophin while improving muscle force in a model of gene therapy of Duchenne dystrophyPeggy P Ho, Lauren J Lahey, Foteini Mourkioti, et al.
Bioinformatics (Oxford, England)|February 15, 2014
A benchmark for comparison of cell tracking algorithmsMartin Maška, Vladimír Ulman, David Svoboda, et al.
Nature Methods|January 21, 2014
Objective comparison of particle tracking methodsNicolas Chenouard, Ihor Smal, Fabrice de Chaumont, et al.
Nature Methods|October 31, 2017
An objective comparison of cell-tracking algorithmsVladimír Ulman, Martin Maška, Klas E G Magnusson, et al.
Nature Methods|May 18, 2023
The Cell Tracking Challenge: 10 years of objective benchmarkingMartin Maška, Vladimír Ulman, Pablo Delgado-Rodriguez, et al.
Pageof 1