Machine learning is used to analyze images by training algorithms on data to recognize patterns and identify objects, with applications in various fields, such as medicine, security, and automation. Meanwhile, histological cross-sections, whether longitudinal or transverse, expose layers of tissues or tissue mimetics, which provide crucial information for microscopic analysis. : This study aimed to employ the Google platform "Teachable Machine" to apply artificial intelligence (AI) in the interpretation of histological cross-section images of hydrogel filaments.
View Article and Find Full Text PDFHydrogel filaments were manufactured using wet spinning technique, incorporating variations in the concentrations of sodium alginate, gelatin, and calcium chloride (crosslinking agent). The combination of biopolymer concentrations was determined using design of experiments (DoE) approach. The resulting filaments were produced from the developed hydrogels.
View Article and Find Full Text PDFSilver nanoparticles (AgNPs), as well as silver ions, are described as toxic to a broad spectrum of microorganisms, especially bacteria. In contrast to this, a current trend is to develop and carry out the in vitro cultivation of microorganisms, facilitating the study of interactions between populations of cells and species. Thus, the goal of this study was to evaluate the behavior, growth, and swarming formation of bacteria under conditions of co-culture in solid medium modified with AgNPs.
View Article and Find Full Text PDFMater Sci Eng C Mater Biol Appl
November 2020
Magnetic nanoparticles (MNPs) are a specific type of nanomaterial whose applications are widespread into several fields including biomedicine as a smart drug targeter and environmental engineering due to their interactions with contaminants. Lately, the use of MNPs has also been demonstrated in structuring three-dimensional (3D) cultures of mammalian cells. However, MNPs application to other cell types is still limited.
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