![]() ![]() The presented guidelines allow for the selection of the optimal focus algorithm for different microscopy applications. Image preprocessing was also conducted to extensively reveal the performance and robustness of the focus algorithms. ![]() A ranking methodology is proposed, based on which the 18 focus algorithms are ranked. Six samples were used with three observation methods (brightfield, phase contrast, and differential interference contrast (DIC)) under two magnifications (100x and 400x). This article presents a comprehensive comparison study of 18 focus algorithms in which a total of 139,000 microscope images were analyzed. ( '2760 ', '102 ', 'Autofocusing in computer microscopy selecting the optimal focus ', 'Microsc Res Tech ', '65 ', NULL, '139-49 ', '2004 ', '1059-910X ', '10.1002/jemt.20118 ', 'Autofocusing is a fundamental technology for automated biological and biomedical analyses and is indispensable for routine use of microscopes on a large scale. In this review, we provide the reader with a basic description of the available colocalization approaches, proposing a guideline for their use, either alone or in combination.', '2014', '', '', '', NULL), Most of the available image processing software include various colocalization options however, guidance for the choice of the appropriate method is rarely proposed. As the image is both a collection of intensities and a collection of objects, both approaches are applicable. Indicators evaluate signal coincidence over a predefined scale, while quantifiers provide an absolute measurement. In this review, we discuss two types of parameters that are aimed at evaluating colocalization, which are indicators and quantifiers. Once those limitations are taken into account, characterization might be performed. Colocalization studies rely on image preprocessing and further analysis however, they are limited by optical resolution. The analysis of spatial coincidence of two or more markers is a first step in investigating the potential interactions of molecular actors. ('2737', '102', 'Experimenters guide to colocalization studies finding a way thro', 'Methods Cell Biol', '123', NULL, '395-408', '2014', '0091-679X', '10.1016/B978-0-12-420138-5.00021-5', 'Multicolor fluorescence microscopy helps to define the local interplay of subcellular components in cell biological experiments. INSERT INTO `academicpaper ` ( `id_paper `, `id_type `, `Title `, `Journal `, `Volume `, `Number `, `Pages `, `Year `, `ISSN `, `doi `, `Abstract `, `Date `, `URL `, `ISBN `, `Issue `, `Month `) VALUES `id_paper ` decimal( 10, 0) NOT NULL DEFAULT '0 ', ![]()
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