首页|University of New South Wales Reports Findings in Machine Learning (AutoMitoNetw ork: Software for analyzing mitochondrial networks in autofluorescence images to enable label-free cell classification)
University of New South Wales Reports Findings in Machine Learning (AutoMitoNetw ork: Software for analyzing mitochondrial networks in autofluorescence images to enable label-free cell classification)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Sydney, Aust ralia, by NewsRx correspondents, research stated, “High-resolutionmitochondria imaging in combination with image analysis tools have significantly advanced our understandingof cellular function in health and disease. However, most image a nalysis tools for mitochondrial studieshave been designed to work with fluoresc ently labeled images only.”
SydneyAustraliaAustralia and New Zea landCyborgsEmerging TechnologiesMachine LearningSoftware
NETL
NSTL
