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Bayesian traction force estimation using cell boundary-dependent force priors
No full textUnderstanding the principles of cell migration necessitates measurements of the forces generated by cells. In traction force microscopy (TFM), fluorescent beads are placed on a substrate’s surface and the substrate strain caused by the cell traction force is observed as displacement of the beads. Mathematical analysis can estimate traction force from bead displacement. However, most algorithms estimate substrate stresses independently of cell boundary, which results in poor estimation accuracy in low-density bead environments. To achieve accurate force estimation at low density, we proposed a Bayesian traction force estimation (BTFE) algorithm that incorporates cell-boundary-dependent force as a prior. We evaluated the performance of the proposed algorithm using synthetic data generated with mathematical models of cells and TFM substrates. BTFE outperformed other methods, especially in low-density bead conditions. In addition, the BTFE algorithm provided a reasonable force estimation using TFM images from the experiment.journal articl
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Conjugating Parameters for Knowledge Graph Embeddings in Complex Space
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Medical Needs Extraction of Breast Cancer Patients and Social Needs Extraction in COVID-19 Pandemic
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Learning Approaches for Flexible and Resilient Multi-robot Cooperative Transport
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Analysis of AtGH3.10 for its functions in wound stress response and flower development in Arabidopsis thaliana
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Japanese Incremental Text-to-speech Synthesis based on Accent Phrase Unit
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Reversible addition-fragmentation chain-transfer polymerization of acyclic N-vinylamides
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