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A phenotypic in vitro model for the main determinants of human whole heart function

Maria Stancescu, Peter Molnar, Christopher W. McAleer, William McLamb, Christopher J. Long, Carlota Oleaga, Jean-Matthieu Prot, James J. Hickman
2015 Biomaterials  
This system is applicable for cardiac side effect assessment, general toxicology, efficacy studies, and evaluation of in vitro cellular disease models in body-on-a-chip systems.  ...  The major determinants of human whole-heart function were experimentally modeled by integrating separate 2D cellular systems with BioMicroelectromechanical Systems (BioMEMS) constructs.  ...  Michael Shuler, Stephen Lambert and Frank Sommerhage for their critical review of the manuscript. We would also like to thank GE for the gift of the stem cells for utilization in this research.  ... 
doi:10.1016/j.biomaterials.2015.04.035 pmid:25978005 pmcid:PMC4458149 fatcat:oulzmwxg7bhurkteyosugi2s6m

Instability and Triangulation of the Action Potential Predict Serious Proarrhythmia, but Action Potential Duration Prolongation Is Antiarrhythmic

L. M. Hondeghem, L. Carlsson, G. Duker
2001 Circulation  
Temporal instability of APD, triangulation (duration of phase 3 repolarization), reverse use-dependence, and induction of ectopic beats were measured.  ...  For 20 selected compounds, it was shown that instability of APD and triangulation observed in vitro were strong predictors of in vivo proarrhythmia (torsade de pointes).  ...  Acknowledgments The authors wish to thank Karolyn Hondeghem for her help with the analysis and Birgit Andersson, Betty Beck, Bruno Hespel, Gunilla Linhardt, and Helena Westling for their invaluable assistance  ... 
doi:10.1161/01.cir.103.15.2004 pmid:11306531 fatcat:njwj7nw4erhmdiivalcmbkkm5a

Scope2Screen: Focus+Context Techniques for Pathology Tumor Assessment in Multivariate Image Data

Jared Jessup, Robert Krueger, Simon Warchol, John Hoffer, Jeremy Muhlich, Cecily C Ritch, Giorgio Gaglia, Shannon Coy, Yu-An Chen, Jia-Ren Lin, Sandro Santagata, Peter K Sorger (+1 others)
2021 IEEE Transactions on Visualization and Computer Graphics  
However, a substantial gap remains with respect to visualizing the resulting multivariate image data and effectively supporting pathology workflows in digital environments on screen.  ...  A multidisciplinary team of visualization experts, microscopists, and pathologists identified key image exploration and annotation tasks involving finding, magnifying, quantifying, and organizing regions  ...  and correlation of markers of interest in large tissue areas at sub-cellular resolution.  ... 
doi:10.1109/tvcg.2021.3114786 pmid:34606456 pmcid:PMC8805697 fatcat:vetqryzrnzhvnkr6m6on22ntky

Visual cohort comparison for spatial single-cell omics-data

Antonios Somarakis, Marieke E. Ijsselsteijn, Sietse J. Luk, Boyd Kenkhuis, Noel F.C.C. De Miranda, Boudewijn P. F. Lelieveldt, Thomas Hollt
2020 IEEE Transactions on Visualization and Computer Graphics  
Here, we present an interactive visual analysis workflow for the comparison of cohorts of spatially-resolved omics-data.  ...  In such studies, with little a-priori knowledge of what to expect in the data, explorative data analysis is a necessity.  ...  Dealing with microscopic images, Screenit [15] offers a system of linked views, similar to our system, to explore the drug screening results of cell cultures at multiple levels of detail.  ... 
doi:10.1109/tvcg.2020.3030336 pmid:33112747 fatcat:wpfddxbeqrabdpzc6x5pbo3m5y

Visual cohort comparison for spatial single-cell omics-data [article]

Antonios Somarakis, Marieke E. Ijsselsteijn, Sietse J. Luk, Boyd Kenkhuis, Noel F.C.C. de Miranda, Boudewijn P.F. Lelieveldt, Thomas Höllt
2020 arXiv   pre-print
Here, we present an interactive visual analysis workflow for the comparison of cohorts of spatially-resolved omics-data.  ...  In such studies, with little a-priori knowledge of what to expect in the data, explorative data analysis is a necessity.  ...  Dealing with microscopic images, Screenit [15] offers a system of linked views, similar to our system, to explore the drug screening results of cell cultures at multiple levels of detail.  ... 
arXiv:2006.05175v2 fatcat:tnzpebflunb6zi6gnxxxakfwyi

Facetto: Combining Unsupervised and Supervised Learning for Hierarchical Phenotype Analysis in Multi-Channel Image Data [article]

Robert Krueger, Johanna Beyer, Won-Dong Jang, Nam Wook Kim, Artem Sokolov, Peter K Sorger, Hanspeter Pfister
2019 bioRxiv   pre-print
Facetto is a scalable visual analytics application that is used to discover single-cell phenotypes in high-dimensional multi-channel microscopy images of human tumors and tissues.  ...  To overcome these challenges, Facetto enables a semi-automated analysis of cell types and states.  ...  This work is supported by the Ludwig Center at Harvard Medical School, by NCI Grant U54-CA225088, by King Abdullah University of Science and Technology (KAUST) and the KAUST Office of Sponsored Research  ... 
doi:10.1101/722918 fatcat:t7lob3q2fndmxngn4udvqxr7ea

CellTrackVis: Analyzing the Performance of Cell Tracking Algorithms

Weimin Li, Xiang Zhang, Alan Stern, Marc R. Birtwistle, Federico Iuricich
2022
While many visualization tools exist to help with cell behavior analysis, there are no tools to help with the algorithm's validation.  ...  However, none of these algorithms can yet claim robust tracking performance at the varying of acquisition conditions (e.g., cell type, acquisition device, cell treatments).  ...  Related Works In live-cell data processing, most visualization tools focus on the analysis and understanding of cellular behavior [PKE17] .  ... 
doi:10.2312/evs.20221103 fatcat:fify7q6vx5a5bpgvfrzcg26u3y