首页|Vilnius Gediminas Technical University Reports Findings in Machine Learning (Fast detection of micro-objects using scanning electrochemical microscopy based on visual recognition and machine learning)
Vilnius Gediminas Technical University Reports Findings in Machine Learning (Fast detection of micro-objects using scanning electrochemical microscopy based on visual recognition and machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is the subject of a report. According to news reporting originating in Vilnius, Lithuania, by NewsRx journalists, research stated, "Scanning electrochemical microscopy (SECM) is a scanning probe microscope with an ultramicroelectrode (UME) as a probe. The technique is advantageous in the characterization of the electrochemical properties of surfaces." The news reporters obtained a quote from the research from Vilnius Gediminas Technical University, "However, the limitations, such as slow imaging and many functions depending on the user, only allow us to use some of the possibilities. Therefore, we applied visual recognition and machine learning to detect micro-objects from the image and determine their electrochemical activity. The reconstruction of the image from several approach curves allows it to scan faster and detect active areas of the sample. Therefore, the scanning time and presence of the user is diminished." According to the news reporters, the research concluded: "An automated scanning electrochemical microscope with visual recognition has been developed using commercially available modules, relatively low-cost components, design, software solutions proven in other fields, and an original control and data fusion algorithm."
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