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A New Imaging Platform for Visualizing Biological Effects of Non-Invasive Radiofrequency Electric-Field Cancer HyperthermiaAutomated cell identification and tracking using nanoparticle moving-light-displaysFlow-based cytometric analysis of cell cycle via simulated cell populationsAnalysis of the influence of cell heterogeneity on nanoparticle dose responseAn open-source solution for advanced imaging flow cytometry data analysis using machine learning.A transfer function approach to measuring cell inheritance.Nanoparticle vesicle encoding for imaging and tracking cell populations.Poisson-event-based analysis of cell proliferationRadiofrequency treatment alters cancer cell phenotypeLabel-free cell cycle analysis for high-throughput imaging flow cytometry.Reduced Cationic Nanoparticle Cytotoxicity Based on Serum Masking of Surface PotentialData-analysis strategies for image-based cell profiling.An Analysis of the Practicalities of Multi-Color Nanoparticle Cellular Bar-Coding.Statistical prediction of nanoparticle delivery: from culture media to cell.Quantifying the cellular uptake of semiconductor quantum dot nanoparticles by analytical electron microscopy.The mental health, emotional literacy, cognitive ability, literacy attainment and 'resilience' of 'looked after children': a multidimensional, multiple-rater population based study.Long-term time series analysis of quantum dot encoded cells by deconvolution of the autofluorescence signal.Single cell nanoparticle tracking to model cell cycle dynamics and compartmental inheritance.Stroboscopic fluorescence lifetime imaging.Measurement of molecular mixing at a conjugated polymer interface by specular and off-specular neutron scattering.Reconstructing cell cycle and disease progression using deep learning.Generation of an in vitro 3D PDAC stroma rich spheroid model.Quantification of nanoparticle dose and vesicular inheritance in proliferating cells.A method for evaluating the use of fluorescent dyes to track proliferation in cell lines by dye dilution.Characterizing Nanoparticles in Biological Matrices: Tipping Points in Agglomeration State and Cellular Delivery In Vitro.Organic matter identifies the nano-mechanical properties of native soil aggregates.Diagnostic Potential of Imaging Flow Cytometry.Spatially-resolved profiling of carbon nanotube uptake across cell lines.Multiscale benchmarking of drug delivery vectors.An imaging flow cytometric method for measuring cell division history and molecular symmetry during mitosis.Analysis of quantum dot fluorescence stability in primary blood mononuclear cells.Objective profiling of varied human motion based on normative assessment of magnetometer time series data.Quantifying Nanoparticle–Cell InteractionsQuantitative characterization of nanoparticle agglomeration within biological mediaTEM analysis of nanoparticle dispersions with application towards the quantification ofin vitrocellular uptakeInvestigating FlowSight® imaging flow cytometry as a platform to assess chemically induced micronuclei using human lymphoblastoid cells in vitroEffect of Coulomb enhancement on optical gain in (Zn,Cd)Se/ZnSe multiple quantum wellsHigh temperature gain measurements in optically pumped ZnCdSe-ZnSe quantum wellsCalculation of gain‐current characteristics in ZnCdSe‐ZnSe quantum well structures including many body effectsNoisy Cell-Size-Correlated Expression of Cyclin B Drives Probabilistic Cell-Size Homeostasis in Fission Yeast
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Q27321706-159B4659-B9C3-4C8E-80DF-97B32E7E067CQ27333923-BF36F1C9-33F0-41F4-8113-AEDB6A1D6642Q27334983-50C68D07-BDA3-429D-B8BA-1D259A185800Q28396936-A496BF6F-35EC-4BCD-B08D-C9757F9318B5Q31126738-B521A745-A2EA-4A7A-995E-1AE963CDE821Q33826813-A8174431-A2AF-4EF2-87F4-4991D0C3710FQ35251321-1A7B820C-B261-416F-B89D-7EDF42855CBAQ35540591-42400D8D-BFC1-4171-B765-F246AF25C112Q35844475-F614FBD6-AD5C-410E-9944-6DB96BC54813Q36511094-4A46D9C6-E5F8-4F32-9AFC-0D41F64C9B19Q37146272-1C9A5E25-F42E-4B92-AB92-3068A4142FEFQ38600105-8130F295-9919-4A51-A585-E3CCFDAFEC3BQ38779990-04DD8566-8A3C-4CD0-AE0A-998987FA0521Q38896493-41B7C25B-3B71-4D10-882D-38C32E3D0D91Q38900922-AC96BC3A-B10F-474B-9A64-9923699ABC2FQ39305499-CB503836-400F-43DD-B61E-22C445CF6B15Q39598550-F3527E82-B115-45ED-8F81-111EC90ADDFCQ39762277-A8C62BB1-CD3D-4F1D-A7DB-63AF89B5ED59Q39866202-CF3EC176-FA6A-424E-8E7E-BA7839CBD1F9Q40463342-AE5FC1F0-ED75-487B-8219-0247FE223C29Q41629834-ACF39F33-83BB-4E42-8305-30DFB36CF059Q42678442-177D778D-934B-4EEF-AFA7-D49D05A5A724Q43075520-37D8E05D-BA58-40E9-B19A-A7AF480952BCQ46941295-D27A1D5B-3E77-4ED4-ABB9-752DF633D8F9Q47407995-C0A314D4-C9E5-43D2-A594-CEA6F3AF8079Q47756194-419D7F32-34BC-411D-9823-70F0EA59DCFAQ50209104-4D9403C0-1ED2-4514-874E-EA2F73EBE922Q50881477-F1F0BBD8-A27F-499C-931D-83E864E6F7CAQ51375823-CE3E8302-D5E7-46B0-B66F-AAF7E25231B8Q51561916-4F2E8B92-682A-4510-B1C9-51827A699539Q51606931-A0566982-F11B-441B-A4E2-93F48891C91AQ52340614-C7180DDA-B122-4113-BE6E-B47B58118BC4Q54087791-5B0DEF7B-6E2C-4405-99AB-AECC8607A9A2Q54087835-CB5AB0D9-14ED-473B-A548-5F96A67DAC07Q54087838-859E0B82-130B-41DC-BF56-F9E2043417B6Q57281346-124149D5-A364-46D4-B152-9B8C8A39D091Q63366663-F67825C7-125E-4289-9658-88E707386568Q63366665-0A59482D-E73C-4652-A952-0AF39E18111EQ63366668-5FB515F4-599C-4385-A344-C5D965AC2DAFQ64098953-914FB178-8D5E-4197-9707-A0C1A6B70A35
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description
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Paul Rees
@ast
Paul Rees
@en
Paul Rees
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Paul Rees
@nl
Paul Rees
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Paul Rees
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Paul Rees
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Paul Rees
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Paul Rees
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Paul Rees
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Paul Rees
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Paul Rees
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Paul Rees
@es
Paul Rees
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Paul Rees
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P106
P1153
56985435200
7202572641
P21
P31
P496
0000-0002-7715-6914