Publicación:
Morphological Characterization of Mycobacterium tuberculosis in a MODS Culture for an Automatic Diagnostics through Pattern Recognition
Morphological Characterization of Mycobacterium tuberculosis in a MODS Culture for an Automatic Diagnostics through Pattern Recognition
dc.contributor.author | Alva, A | es_PE |
dc.contributor.author | Aquino, F | es_PE |
dc.contributor.author | Gilman, RH | es_PE |
dc.contributor.author | Olivares, C | es_PE |
dc.contributor.author | Requena, D | es_PE |
dc.contributor.author | Gutierrez, AH | es_PE |
dc.contributor.author | Caviedes, L | es_PE |
dc.contributor.author | Coronel, J | es_PE |
dc.contributor.author | Larson, S | es_PE |
dc.contributor.author | Sheen, P | es_PE |
dc.contributor.author | Moore, DAJ | es_PE |
dc.contributor.author | Zimic, M | es_PE |
dc.date.accessioned | 2024-05-30T23:13:38Z | |
dc.date.available | 2024-05-30T23:13:38Z | |
dc.date.issued | 2013 | |
dc.description | The initial development of the algorithm was funded by a Wellcome Trust Career Development Fellowship awarded to DAJM [078067/Z/05] and by the Peruvian FINCYT Proyecto de Interes Nacional [PIN 061] and CONCYTEC PROCYT awarded to MZ. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. | |
dc.description.abstract | Tuberculosis control efforts are hampered by a mismatch in diagnostic technology: modern optimal diagnostic tests are least available in poor areas where they are needed most. Lack of adequate early diagnostics and MDR detection is a critical problem in control efforts. The Microscopic Observation Drug Susceptibility (MODS) assay uses visual recognition of cording patterns from Mycobacterium tuberculosis (MTB) to diagnose tuberculosis infection and drug susceptibility directly from a sputum sample in 7–10 days with a low cost. An important limitation that laboratories in the developing world face in MODS implementation is the presence of permanent technical staff with expertise in reading MODS. | |
dc.description.sponsorship | Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concytec | |
dc.identifier.doi | https://doi.org/10.1371/journal.pone.0082809 | |
dc.identifier.isi | 328735700093 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12390/1121 | |
dc.language.iso | eng | |
dc.publisher | PLOS | |
dc.relation.ispartof | PLOS ONE | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | tuberculosis | |
dc.subject | automatic diagnostics | es_PE |
dc.subject.ocde | https://purl.org/pe-repo/ocde/ford#3.03.08 | |
dc.title | Morphological Characterization of Mycobacterium tuberculosis in a MODS Culture for an Automatic Diagnostics through Pattern Recognition | |
dc.type | info:eu-repo/semantics/article | |
dspace.entity.type | Publication | |
oairecerif.author.affiliation | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
oairecerif.author.affiliation | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
oairecerif.author.affiliation | #PLACEHOLDER_PARENT_METADATA_VALUE# |