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      Dynamics of Active SiO 2–Pt Janus Colloids in Dilute Poly(ethylene oxide) Solutions

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          Abstract

          Self-propelled Janus colloids (JCs) have recently gained much attention due to their ability to move autonomously and mimic biological microswimmers. This ability makes them suitable for prospective drug/cargo-delivery applications in microscopic domains. Understanding their dynamics in surroundings doped with macromolecules such as polymers is crucial, as most of the target application media are complex in nature. In this study, we investigate the self-diffusiophoretic motion of hydrogen peroxide-fuelled SiO 2–Pt JCs in the presence of dilute amounts of poly(ethylene oxide) (PEO). Despite the addition of PEO chains producing a Newtonian behavior with negligible increase in viscosity, the ballistic movement and rotational fluctuations of active JCs are observed to be significantly suppressed. With an increase in the polymer concentration, this leads to a transition from smooth to jittery to cage-hopping to the arrested motion of active JCs. We further propose that the anisotropic interaction of the polymers with the JC increases the “local drag” of the medium, resulting in the unusual impediment of the active motion.

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          Fiji: an open-source platform for biological-image analysis.

          Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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            Feature point tracking and trajectory analysis for video imaging in cell biology.

            This paper presents a computationally efficient, two-dimensional, feature point tracking algorithm for the automated detection and quantitative analysis of particle trajectories as recorded by video imaging in cell biology. The tracking process requires no a priori mathematical modeling of the motion, it is self-initializing, it discriminates spurious detections, and it can handle temporary occlusion as well as particle appearance and disappearance from the image region. The efficiency of the algorithm is validated on synthetic video data where it is compared to existing methods and its accuracy and precision are assessed for a wide range of signal-to-noise ratios. The algorithm is well suited for video imaging in cell biology relying on low-intensity fluorescence microscopy. Its applicability is demonstrated in three case studies involving transport of low-density lipoproteins in endosomes, motion of fluorescently labeled Adenovirus-2 particles along microtubules, and tracking of quantum dots on the plasma membrane of live cells. The present automated tracking process enables the quantification of dispersive processes in cell biology using techniques such as moment scaling spectra.
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              Colloid Transport by Interfacial Forces

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                Author and article information

                Journal
                ACS Phys Chem Au
                ACS Phys Chem Au
                pg
                apcach
                ACS Physical Chemistry Au
                American Chemical Society
                2694-2445
                25 January 2023
                24 May 2023
                : 3
                : 3
                : 279-289
                Affiliations
                []Department of Chemical Engineering, Indian Institute of Technology Kanpur , Kanpur208016, India
                []Department of Chemical Engineering, Jadavpur University , Kolkata700032, India
                Author notes
                Author information
                https://orcid.org/0000-0002-5889-8226
                https://orcid.org/0000-0002-4722-6272
                https://orcid.org/0000-0003-1824-417X
                Article
                10.1021/acsphyschemau.2c00056
                10214528
                37249935
                6eb0d1a6-7212-481d-8fa1-51fab1184c9e
                © 2023 The Authors. Published by American Chemical Society

                Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 20 October 2022
                : 06 January 2023
                : 06 January 2023
                Funding
                Funded by: Science and Engineering Research Board, doi 10.13039/501100001843;
                Award ID: ECR/2018/000401
                Funded by: Science and Engineering Research Board, doi 10.13039/501100001843;
                Award ID: SB/S2/RJN-105/2017
                Categories
                Article
                Custom metadata
                pg2c00056
                pg2c00056

                self-propelled janus colloids,self-diffusiophoresis,active colloids,poly(ethylene oxide),polymer adsorption,artificial micromotors,janus colloids

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