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09-21-2016, 11:10 PM
New Technique for Rapid Detection of Malaria in The Field
http://www.medgadget.com/wp-content/uploads/2016/09/wax_malaria_1.jpg
Malaria is pretty easy to detect inside a hospital laboratory, but the disease is prevalent in poor areas of the world where clinical access is often limited. Duke University researchers have **w developed a fully automated system that can be used in the field to test for malaria with only a blood prick. Currently most testing is done using standard microscopy, and the process of staining, preparing, and visualizing the cells can be time consuming. The new Duke technique*can potentially screen thousands of cells per minute and maybe screen entire villages in about a day.
The system relies on quantitative phase spectroscopy in which a laser quickly changes its color across the visible spectrum as it illuminates a cell. A sensor detects how the cell affects the incoming light at various*frequencies and the data is compiled together to create a holographic image.
To actually identify which cells are infected, a deep learning algorithm that **tices correlations was fed more than 1,000 examples of both healthy and infected cells. It identified a ****** of correlations between certain parameters of the cells and different stages of malarial infection as seen*in the holograms.*Testing the system on hundreds of cells resulted in an accuracy between 97% and 100%
http://www.medgadget.com/wp-content/uploads/2016/09/wax_malaria_3.jpgFour cells in different stages of infection from a malarial parasite as analyzed by a new algorithm (the first image in the post is of cells under a microscope in the same stages). The algorithm uses various measures of the cell’s physical characteristics to determine whether or **t it is infected.
Study in PLOS ONE: Automated Detection of P. falciparum Using Machine Learning Algorithms with Quantitative Phase Images of Unstained Cells… (http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0163045)
This post New Technique for Rapid Detection of Malaria in The Field (http://www.medgadget.com/2016/09/new-technique-rapid-detection-malaria-field.html) appeared first on Medgadget (http://www.medgadget.com).
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http://www.medgadget.com/wp-content/uploads/2016/09/wax_malaria_1.jpg
Malaria is pretty easy to detect inside a hospital laboratory, but the disease is prevalent in poor areas of the world where clinical access is often limited. Duke University researchers have **w developed a fully automated system that can be used in the field to test for malaria with only a blood prick. Currently most testing is done using standard microscopy, and the process of staining, preparing, and visualizing the cells can be time consuming. The new Duke technique*can potentially screen thousands of cells per minute and maybe screen entire villages in about a day.
The system relies on quantitative phase spectroscopy in which a laser quickly changes its color across the visible spectrum as it illuminates a cell. A sensor detects how the cell affects the incoming light at various*frequencies and the data is compiled together to create a holographic image.
To actually identify which cells are infected, a deep learning algorithm that **tices correlations was fed more than 1,000 examples of both healthy and infected cells. It identified a ****** of correlations between certain parameters of the cells and different stages of malarial infection as seen*in the holograms.*Testing the system on hundreds of cells resulted in an accuracy between 97% and 100%
http://www.medgadget.com/wp-content/uploads/2016/09/wax_malaria_3.jpgFour cells in different stages of infection from a malarial parasite as analyzed by a new algorithm (the first image in the post is of cells under a microscope in the same stages). The algorithm uses various measures of the cell’s physical characteristics to determine whether or **t it is infected.
Study in PLOS ONE: Automated Detection of P. falciparum Using Machine Learning Algorithms with Quantitative Phase Images of Unstained Cells… (http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0163045)
This post New Technique for Rapid Detection of Malaria in The Field (http://www.medgadget.com/2016/09/new-technique-rapid-detection-malaria-field.html) appeared first on Medgadget (http://www.medgadget.com).
http://feeds.feedburner.com/~ff/Medgadget?d=yIl2AUoC8zA (http://feeds.feedburner.com/~ff/Medgadget?a=o-PJHGmlz6o:3rsp9sPDVBk:yIl2AUoC8zA) http://feeds.feedburner.com/~ff/Medgadget?d=qj6IDK7rITs (http://feeds.feedburner.com/~ff/Medgadget?a=o-PJHGmlz6o:3rsp9sPDVBk:qj6IDK7rITs) http://feeds.feedburner.com/~ff/Medgadget?i=o-PJHGmlz6o:3rsp9sPDVBk:gIN9vFwOqvQ (http://feeds.feedburner.com/~ff/Medgadget?a=o-PJHGmlz6o:3rsp9sPDVBk:gIN9vFwOqvQ)
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