Implementing machine learning methods for imaging flow cytometry
چکیده
چکیدهای برای این سند ثبت نشده است.
چکیدهای برای این سند ثبت نشده است.
Advances in science education research have the potential to improve the way students learn to perform scientific interpretations and understand science concepts. We developed active, collaborative activities to teach skills in manipulating flow cytometry data using FlowJo softwa
We report a novel method of diffraction imaging flow cytometry to measure and analyze size distribution of microspheres. An automated and robust image processing software based on the short-time-Fourier-transform algorithm has been developed to analyze the characteristic and spat
A quantitative method for measurement of apoptosis in HL-60 cells based on polarization diffraction imaging flow cytometry technique is presented in this paper. Through comparative study with existing methods and the analysis of diffraction images by a gray level co-occurrence ma
Title of dissertation: EFFICIENT MACHINE LEARNING METHODS FOR DOCUMENT IMAGE ANALYSIS Jayant Kumar, Doctor of Philosophy, 2013 Dissertation directed by: Professor Larry Davis Department of Computer Science Dr. David Doermann University of Maryland Institute for Advanced Computer
The combination of microscopy and flow cytometry enables image based screening of large collections of cells. Despite the proposition more than thirty years ago, adding high resolution wide-field imaging to flow cytometers remains challenging. The velocity of cells in flow cytome