Nothing Special   »   [go: up one dir, main page]

Pollak et al., 2017 - Google Patents

Computer vision malaria diagnostic systems—progress and prospects

Pollak et al., 2017

View HTML
Document ID
9382605665254746906
Author
Pollak J
Houri-Yafin A
Salpeter S
Publication year
Publication venue
Frontiers in public health

External Links

Snippet

Accurate malaria diagnosis is critical to prevent malaria fatalities, curb overuse of antimalarial drugs, and promote appropriate management of other causes of fever. While several diagnostic tests exist, the need for a rapid and highly accurate malaria assay …
Continue reading at www.frontiersin.org (HTML) (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/53Immunoassay; Biospecific binding assay
    • G01N33/569Immunoassay; Biospecific binding assay for micro-organisms, e.g. protozoa, bacteria, viruses
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/5005Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/80Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving blood groups or blood types or red blood cells
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/62Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
    • G01N21/63Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
    • G01N21/64Fluorescence; Phosphorescence
    • G01N21/6428Measuring fluorescence of fluorescent products of reactions or of fluorochrome labelled reactive substances, e.g. measuring quenching effects, using measuring "optrodes"
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
    • G01N15/10Investigating individual particles
    • G01N15/14Electro-optical investigation, e.g. flow cytometers
    • G01N15/1456Electro-optical investigation, e.g. flow cytometers without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals
    • G01N15/1459Electro-optical investigation, e.g. flow cytometers without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals the analysis being performed on a sample stream
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2333/00Assays involving biological materials from specific organisms or of a specific nature
    • G01N2333/435Assays involving biological materials from specific organisms or of a specific nature from animals; from humans
    • G01N2333/44Assays involving biological materials from specific organisms or of a specific nature from animals; from humans from protozoa
    • G01N2333/445Plasmodium

Similar Documents

Publication Publication Date Title
Pollak et al. Computer vision malaria diagnostic systems—progress and prospects
Pillay et al. Evaluation of automated malaria diagnosis using the Sysmex XN-30 analyser in a clinical setting
Yang et al. A portable image-based cytometer for rapid malaria detection and quantification
Manescu et al. Expert‐level automated malaria diagnosis on routine blood films with deep neural networks
Forney et al. Malaria rapid diagnostic devices: performance characteristics of the Para Sight F device determined in a multisite field study
Loddo et al. MP-IDB: the malaria parasite image database for image processing and analysis
Horning et al. Performance of a fully‐automated system on a WHO malaria microscopy evaluation slide set
Yoon et al. An automated microscopic malaria parasite detection system using digital image analysis
Maturana et al. Advances and challenges in automated malaria diagnosis using digital microscopy imaging with artificial intelligence tools: A review
Kumar et al. First successful field evaluation of new, one-minute haemozoin-based malaria diagnostic device
Post et al. The XN-30 hematology analyzer for rapid sensitive detection of malaria: a diagnostic accuracy study
Merdasa et al. Staining-free malaria diagnostics by multispectral and multimodality light-emitting-diode microscopy
Chang et al. Light-emitting diode fluorescence microscopy for tuberculosis diagnosis: a meta-analysis
Chou et al. Performance of “VIKIA Malaria Ag Pf/Pan”(IMACCESS®), a new malaria rapid diagnostic test for detection of symptomatic malaria infections
Racsa et al. Detection of intracellular parasites by use of the CellaVision DM96 analyzer during routine screening of peripheral blood smears
Powless et al. Considerations for point-of-care diagnostics: evaluation of acridine orange staining and postprocessing methods for a three-part leukocyte differential test
Yoon et al. Diagnostic performance of CellaVision DM96 for Plasmodium vivax and Plasmodium falciparum screening in peripheral blood smears
Yitbarek et al. Performance evaluation of malaria microscopists at defense health facilities in Addis Ababa and its surrounding areas, Ethiopia
Zuluaga-Idárraga et al. Performance of the hematology analyzer XN-31 prototype in the detection of Plasmodium infections in an endemic region of Colombia
Holmström et al. A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy
Kazarine et al. Malaria detection by third-harmonic generation image scanning cytometry
Rees-Channer et al. Evaluation of an automated microscope using machine learning for the detection of malaria in travelers returned to the UK
Billo et al. Inter-observer agreement according to malaria parasite density
Sun et al. Infected RBC flag/parameter provided by Mindray BC-6800 haematology analyzer aid the diagnosis of malaria
Osoga et al. Comparative evaluation of fluorescent in situ hybridization and Giemsa microscopy with quantitative real-time PCR technique in detecting malaria parasites in a holoendemic region of Kenya