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Volumn 15, Issue 5, 2015, Pages 1284-1293
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Rapid imaging, detection and quantification of Giardia lamblia cysts using mobile-phone based fluorescent microscopy and machine learning
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Author keywords
[No Author keywords available]
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Indexed keywords
WATER;
FLUORESCENT DYE;
ABSORBENT PAD;
ANIMAL CELL;
ARTICLE;
AUTOMATION;
CAMERA;
CELL WALL;
CHLORINATION;
CONTROLLED STUDY;
CYST (RESTING STAGE);
DIGITAL IMAGING;
DISINFECTION;
FLOW CYTOMETER;
FLOW CYTOMETRY;
FLUORESCENCE IMAGING;
FLUORESCENCE MICROSCOPE;
FLUORESCENCE MICROSCOPY;
GIARDIA INTESTINALIS;
IMAGE ANALYSIS;
LIMIT OF DETECTION;
LIMIT OF QUANTITATION;
MACHINE LEARNING;
MECHANICS;
MEMBRANE FILTER;
MOBILE PHONE;
MOLECULAR IMAGING;
NONHUMAN;
PARTICLE SIZE;
PRIORITY JOURNAL;
SENSITIVITY ANALYSIS;
WATER CONTAMINATION;
WATER SUPPLY;
ARTIFICIAL INTELLIGENCE;
CHEMISTRY;
DEVICES;
EQUIPMENT DESIGN;
ISOLATION AND PURIFICATION;
PARASITOLOGY;
PROCEDURES;
GIARDIA;
GIARDIA INTESTINALIS;
ARTIFICIAL INTELLIGENCE;
CELL PHONES;
EQUIPMENT DESIGN;
FLUORESCENT DYES;
GIARDIA LAMBLIA;
MICROSCOPY, FLUORESCENCE;
WATER;
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EID: 84923171880
PISSN: 14730197
EISSN: 14730189
Source Type: Journal
DOI: 10.1039/c4lc01358a Document Type: Article |
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Times cited : (180)
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References (27)
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