Recent Advances in Single-Particle Tracking: Experiment and Analysis
This Special Issue of Entropy, titled “Recent Advances in Single-Particle Tracking: Experiment and Analysis”, contains a collection of 13 papers concerning different aspects of single-particle tracking, a popular experimental technique that has deeply penetrated molecular biology and statistical and...
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| Materyal Türü: | Online |
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| Dil: | İngilizce |
| Baskı/Yayın Bilgisi: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Konular: | |
| Online Erişim: | ONIX_20220506_9783036534855_282 |
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| _version_ | 1869525460164018176 |
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| collection | Directory of Open Access Books |
| description | This Special Issue of Entropy, titled “Recent Advances in Single-Particle Tracking: Experiment and Analysis”, contains a collection of 13 papers concerning different aspects of single-particle tracking, a popular experimental technique that has deeply penetrated molecular biology and statistical and chemical physics. Presenting original research, yet written in an accessible style, this collection will be useful for both newcomers to the field and more experienced researchers looking for some reference. Several papers are written by authorities in the field, and the topics cover aspects of experimental setups, analytical methods of tracking data analysis, a machine learning approach to data and, finally, some more general issues related to diffusion. |
| format | Online |
| id | doab-20.500.12854ir-81216 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-812162024-03-28T03:32:43Z Recent Advances in Single-Particle Tracking: Experiment and Analysis Szwabiński, Janusz Weron, Aleksander diauxic growth replicator equation mesoscopic model integro-differential equations anomalous diffusion statistical analysis single-particle tracking trajectory classification fractional Brownian motion estimation autocovariance function neural network Monte Carlo simulations multifractional Brownian motion power of the statistical test machine learning classification feature engineering confinement information theory Brownian particle stochastic thermodynamics CTRW diffusing-diffusivity occupation time statistics wound healing dynamics single pseudo-particle tracking phase contrast image segmentation 3D single-particle tracking Fisher information non-uniform illumination SPT deep learning residual neural networks random walk heterogeneous endosomes single particle trajectory stochastic processes trapping thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PH Physics This Special Issue of Entropy, titled “Recent Advances in Single-Particle Tracking: Experiment and Analysis”, contains a collection of 13 papers concerning different aspects of single-particle tracking, a popular experimental technique that has deeply penetrated molecular biology and statistical and chemical physics. Presenting original research, yet written in an accessible style, this collection will be useful for both newcomers to the field and more experienced researchers looking for some reference. Several papers are written by authorities in the field, and the topics cover aspects of experimental setups, analytical methods of tracking data analysis, a machine learning approach to data and, finally, some more general issues related to diffusion. 2022-05-06T11:35:54Z 2022-05-06T11:35:54Z 2022 book ONIX_20220506_9783036534855_282 9783036534855 9783036534862 https://directory.doabooks.org/handle/20.500.12854/81216 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/5248 https://mdpi.com/books/pdfview/book/5248 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-3486-2 10.3390/books978-3-0365-3486-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036534855 9783036534862 238 Basel open access |
| spellingShingle | diauxic growth replicator equation mesoscopic model integro-differential equations anomalous diffusion statistical analysis single-particle tracking trajectory classification fractional Brownian motion estimation autocovariance function neural network Monte Carlo simulations multifractional Brownian motion power of the statistical test machine learning classification feature engineering confinement information theory Brownian particle stochastic thermodynamics CTRW diffusing-diffusivity occupation time statistics wound healing dynamics single pseudo-particle tracking phase contrast image segmentation 3D single-particle tracking Fisher information non-uniform illumination SPT deep learning residual neural networks random walk heterogeneous endosomes single particle trajectory stochastic processes trapping thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PH Physics Recent Advances in Single-Particle Tracking: Experiment and Analysis |
| title | Recent Advances in Single-Particle Tracking: Experiment and Analysis |
| title_full | Recent Advances in Single-Particle Tracking: Experiment and Analysis |
| title_fullStr | Recent Advances in Single-Particle Tracking: Experiment and Analysis |
| title_full_unstemmed | Recent Advances in Single-Particle Tracking: Experiment and Analysis |
| title_short | Recent Advances in Single-Particle Tracking: Experiment and Analysis |
| title_sort | recent advances in single particle tracking experiment and analysis |
| topic | diauxic growth replicator equation mesoscopic model integro-differential equations anomalous diffusion statistical analysis single-particle tracking trajectory classification fractional Brownian motion estimation autocovariance function neural network Monte Carlo simulations multifractional Brownian motion power of the statistical test machine learning classification feature engineering confinement information theory Brownian particle stochastic thermodynamics CTRW diffusing-diffusivity occupation time statistics wound healing dynamics single pseudo-particle tracking phase contrast image segmentation 3D single-particle tracking Fisher information non-uniform illumination SPT deep learning residual neural networks random walk heterogeneous endosomes single particle trajectory stochastic processes trapping thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PH Physics |
| topic_facet | diauxic growth replicator equation mesoscopic model integro-differential equations anomalous diffusion statistical analysis single-particle tracking trajectory classification fractional Brownian motion estimation autocovariance function neural network Monte Carlo simulations multifractional Brownian motion power of the statistical test machine learning classification feature engineering confinement information theory Brownian particle stochastic thermodynamics CTRW diffusing-diffusivity occupation time statistics wound healing dynamics single pseudo-particle tracking phase contrast image segmentation 3D single-particle tracking Fisher information non-uniform illumination SPT deep learning residual neural networks random walk heterogeneous endosomes single particle trajectory stochastic processes trapping thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PH Physics |
| url | ONIX_20220506_9783036534855_282 |