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      An advanced fast method for the evaluation of multiple immunolabelling using gold nanoparticles based on low-energy STEM

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          Abstract

          We present a powerful method for the simultaneous detection of Au nanoparticles located on both sides of ultrathin sections. The method employs a high-resolution scanning electron microscope (HRSEM) operating in scanning transmission electron microscopy (STEM) mode in combination with the detection of backscattered electrons (BSE). The images are recorded simultaneously during STEM and BSE imaging at the precisely selected accelerating voltage. Under proper imaging conditions, the positions of Au nanoparticles on the top or bottom sides can be clearly differentiated, hence showing this method to be suitable for multiple immunolabelling using Au nanoparticles (NPs) as markers. The difference between the upper and lower Au NPs is so large that it is possible to apply common software tools (such as ImageJ) to enable their automatic differentiation. The effects of the section thickness, detector settings and accelerating voltage on the resulting image are shown. Our experimental results correspond to the results modelled in silico by Monte Carlo (MC) simulations.

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          Most cited references27

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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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            CASINO V2.42: a fast and easy-to-use modeling tool for scanning electron microscopy and microanalysis users.

            Monte Carlo simulations have been widely used by microscopists for the last few decades. In the beginning it was a tedious and slow process, requiring a high level of computer skills from users and long computational times. Recent progress in the microelectronics industry now provides researchers with affordable desktop computers with clock rates greater than 3 GHz. With this type of computing power routinely available, Monte Carlo simulation is no longer an exclusive or long (overnight) process. The aim of this paper is to present a new user-friendly simulation program based on the earlier CASINO Monte Carlo program. The intent of this software is to assist scanning electron microscope users in interpretation of imaging and microanalysis and also with more advanced procedures including electron-beam lithography. This version uses a new architecture that provides results twice as quickly. This program is freely available to the scientific community and can be downloaded from the website: (www.gel.usherb.ca/casino).
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              Control of radiation damage in the TEM.

              The problem of electron-beam damage in the transmission electron microscope is reviewed, with an emphasis on radiolysis processes in soft materials and organic specimens. Factors that determine the dose-limited resolution are identified for three different operational modes: bright-field scattering-contrast, phase-contrast and dark-field microscopy. Methods of reducing radiation damage are discussed, including low-dose techniques, cooling or encapsulating the specimen, and the choice of imaging mode, incident-beam diameter and incident-electron energy. Further experiments are suggested as a means of obtaining a better understanding and control of electron-beam damage.
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                Author and article information

                Contributors
                Frantisek.kitzberger@paru.cas.cz
                nebe@paru.cas.cz
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                2 May 2024
                2 May 2024
                2024
                : 14
                : 10150
                Affiliations
                [1 ]GRID grid.418338.5, ISNI 0000 0001 2255 8513, Laboratory of Electron Microscopy, Institute of Parasitology, , Biology Centre CAS, ; 370 05 České Budějovice, Czech Republic
                [2 ]GRID grid.418338.5, ISNI 0000 0001 2255 8513, Laboratory of Evolutionary Protistology, Institute of Parasitology, , Biology Centre CAS, ; 370 05 České Budějovice, Czech Republic
                [3 ]GRID grid.14509.39, ISNI 0000 0001 2166 4904, Faculty of Science, , University of South Bohemia, ; 370 05 České Budějovice, Czech Republic
                [4 ]Faculty of Science, Charles University, ( https://ror.org/024d6js02) 128 00 Prague 2, Czech Republic
                Article
                60314
                10.1038/s41598-024-60314-0
                11065996
                38698090
                e1c51324-f201-46af-b749-44560bcbf4de
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 16 February 2024
                : 21 April 2024
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100002969, Technologická Agentura České Republiky;
                Award ID: TN0100008
                Award ID: TN0100008
                Award ID: TN0100008
                Award ID: TN0100008
                Award ID: TN0100008
                Award Recipient :
                Funded by: Czech-BioImaging
                Award ID: LM2018129
                Award ID: LM2018129
                Award ID: LM2018129
                Award ID: LM2018129
                Award ID: LM2018129
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001823, Ministerstvo Školství, Mládeže a Tělovýchovy;
                Award ID: OP VVV CZ.02.1.01/0.0/0.0/16_013/0001775
                Award ID: OP VVV CZ.02.1.01/0.0/0.0/16_013/0001775
                Award ID: OP VVV CZ.02.1.01/0.0/0.0/16_013/0001775
                Award ID: OP VVV CZ.02.1.01/0.0/0.0/16_013/0001775
                Award ID: OP VVV CZ.02.1.01/0.0/0.0/16_013/0001775
                Award Recipient :
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2024

                Uncategorized
                scanning transmission electron microscopy,high resolution scanning electron microscopy (hrsem),backscatter electron imaging,simultaneous detection of multiple immunogold markers,immunolabelling,monte carlo simulations,electron microscopy,structural biology,data acquisition

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