Eugenia Petoukhov

Eugenia Petoukhov, MSc, is a Canadian-based researcher, as well as scientific and medical writer. She has expertise in various types of microscopy and analytical methods, and has co-authored numerous scientific publications. Eugenia has previously worked for the American Association of Orthopedic Surgeons, Medtronic and DePuy Synthes. She holds a master’s degree in neuroscience from The University of British Columbia and an undergraduate degree from Carleton University, Canada.

在显微图像分析中运用机器学习技术

显微成像技术最近取得了令人振奋的进展，因此，在生物医学研究中采集的图像数据无论质量还是数量都呈指数级增长。但是，分析日益复杂的大型图像数据集以提取有意义的信息可能是一个既枯燥又耗时的过程，而且容易出现人为误差和偏差，这经常给许多研究人员造成生产效率瓶颈。