Matches in SemOpenAlex for { <https://semopenalex.org/work/W4320032657> ?p ?o ?g. }
- W4320032657 endingPage "1257" @default.
- W4320032657 startingPage "1249" @default.
- W4320032657 abstract "Abstract Scanning electron microscopy (SEM) and energy dispersive X‐ray (EDX) are powerful tools to study the ultrastructure of numerous specimens and to determine their elemental composition, respectively. However, results have not yet been reported on their application to urine samples in routine clinical laboratory practice. Herein we investigate urine sediment by using SEM and EDX to detect and identify different urine components. A total of 206 urine samples from patients with and without urinary tract infections were analyzed using SEM and EDX. Microorganisms, crystals, epithelial cells, leukocytes, and erythrocytes were targeted in urine sediment samples. The identification of urine components was based on their morphology, size, contrast, and elemental composition. SEM‐analysis allowed us to identify and classify microorganisms in urine sediments into the categories of gram‐negative bacilli, cluster cocci, chain cocci, gram‐negative bacilli, gram‐positive bacilli, and yeasts. In addition, various types of epithelial cells such as renal, transitional, and squamous epithelial cells were found. Furthermore, leukocytes and erythrocytes were well identified, with the detection of various morphological forms of erythrocytes, such as dysmorphic and isomorphic erythrocytes. Using SEM–EDX analysis, calcium oxalate was the most frequently‐identified crystal (92.0%), with prominent peaks of C, O, and Ca elements, followed by struvite (6%), with peaks of Mg, P, O, and N. These preliminary data suggest that the two complementary SEM–EDX analyses can be used to detect and identify microorganisms and crystals in urine samples. Further studies are still needed to apply SEM–EDX to urine sediment analysis. SEM–EDX analyses provided comparative results with the routine results, with accurate identification, high resolution and deep focus compared to the routine urinalysis SEM‐analysis allowed us to identify and classify microorganisms in urine sediments into the categories of gram‐negative bacilli, cluster cocci, chain cocci, gram‐negative bacilli, gram‐positive bacilli and yeasts. SEM–EDX analysis enabled the accurate identification of crystals based on both morphology and elemental composition." @default.
- W4320032657 created "2023-02-12" @default.
- W4320032657 creator A5005981381 @default.
- W4320032657 creator A5014372814 @default.
- W4320032657 creator A5044142961 @default.
- W4320032657 creator A5044290242 @default.
- W4320032657 creator A5045044431 @default.
- W4320032657 creator A5065620598 @default.
- W4320032657 creator A5070068983 @default.
- W4320032657 creator A5074730004 @default.
- W4320032657 creator A5086770456 @default.
- W4320032657 date "2023-02-11" @default.
- W4320032657 modified "2023-10-14" @default.
- W4320032657 title "Use of scanning electron microscopy and energy dispersive X‐ray for urine analysis: A preliminary investigation" @default.
- W4320032657 cites W1579542494 @default.
- W4320032657 cites W1938486306 @default.
- W4320032657 cites W1952063254 @default.
- W4320032657 cites W2037657651 @default.
- W4320032657 cites W2061794464 @default.
- W4320032657 cites W2077521957 @default.
- W4320032657 cites W2140605293 @default.
- W4320032657 cites W2163186898 @default.
- W4320032657 cites W2411302048 @default.
- W4320032657 cites W2501911161 @default.
- W4320032657 cites W2606582007 @default.
- W4320032657 cites W2784265296 @default.
- W4320032657 cites W2790840495 @default.
- W4320032657 cites W2803896324 @default.
- W4320032657 cites W2906903036 @default.
- W4320032657 cites W2910108160 @default.
- W4320032657 cites W2918724002 @default.
- W4320032657 cites W2922375999 @default.
- W4320032657 cites W2924751218 @default.
- W4320032657 cites W2940027817 @default.
- W4320032657 cites W2955898576 @default.
- W4320032657 cites W3127025759 @default.
- W4320032657 cites W3165196696 @default.
- W4320032657 cites W3169982491 @default.
- W4320032657 cites W659546227 @default.
- W4320032657 doi "https://doi.org/10.1002/jemt.24301" @default.
- W4320032657 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36773029" @default.
- W4320032657 hasPublicationYear "2023" @default.
- W4320032657 type Work @default.
- W4320032657 citedByCount "0" @default.
- W4320032657 crossrefType "journal-article" @default.
- W4320032657 hasAuthorship W4320032657A5005981381 @default.
- W4320032657 hasAuthorship W4320032657A5014372814 @default.
- W4320032657 hasAuthorship W4320032657A5044142961 @default.
- W4320032657 hasAuthorship W4320032657A5044290242 @default.
- W4320032657 hasAuthorship W4320032657A5045044431 @default.
- W4320032657 hasAuthorship W4320032657A5065620598 @default.
- W4320032657 hasAuthorship W4320032657A5070068983 @default.
- W4320032657 hasAuthorship W4320032657A5074730004 @default.
- W4320032657 hasAuthorship W4320032657A5086770456 @default.
- W4320032657 hasBestOaLocation W43200326571 @default.
- W4320032657 hasConcept C13965031 @default.
- W4320032657 hasConcept C151730666 @default.
- W4320032657 hasConcept C159985019 @default.
- W4320032657 hasConcept C178790620 @default.
- W4320032657 hasConcept C185592680 @default.
- W4320032657 hasConcept C192562407 @default.
- W4320032657 hasConcept C199289684 @default.
- W4320032657 hasConcept C26771246 @default.
- W4320032657 hasConcept C2776870249 @default.
- W4320032657 hasConcept C2777132085 @default.
- W4320032657 hasConcept C2778999818 @default.
- W4320032657 hasConcept C2780026642 @default.
- W4320032657 hasConcept C2816523 @default.
- W4320032657 hasConcept C43617362 @default.
- W4320032657 hasConcept C523546767 @default.
- W4320032657 hasConcept C54355233 @default.
- W4320032657 hasConcept C55493867 @default.
- W4320032657 hasConcept C64885871 @default.
- W4320032657 hasConcept C86803240 @default.
- W4320032657 hasConceptScore W4320032657C13965031 @default.
- W4320032657 hasConceptScore W4320032657C151730666 @default.
- W4320032657 hasConceptScore W4320032657C159985019 @default.
- W4320032657 hasConceptScore W4320032657C178790620 @default.
- W4320032657 hasConceptScore W4320032657C185592680 @default.
- W4320032657 hasConceptScore W4320032657C192562407 @default.
- W4320032657 hasConceptScore W4320032657C199289684 @default.
- W4320032657 hasConceptScore W4320032657C26771246 @default.
- W4320032657 hasConceptScore W4320032657C2776870249 @default.
- W4320032657 hasConceptScore W4320032657C2777132085 @default.
- W4320032657 hasConceptScore W4320032657C2778999818 @default.
- W4320032657 hasConceptScore W4320032657C2780026642 @default.
- W4320032657 hasConceptScore W4320032657C2816523 @default.
- W4320032657 hasConceptScore W4320032657C43617362 @default.
- W4320032657 hasConceptScore W4320032657C523546767 @default.
- W4320032657 hasConceptScore W4320032657C54355233 @default.
- W4320032657 hasConceptScore W4320032657C55493867 @default.
- W4320032657 hasConceptScore W4320032657C64885871 @default.
- W4320032657 hasConceptScore W4320032657C86803240 @default.
- W4320032657 hasFunder F4320323222 @default.
- W4320032657 hasIssue "10" @default.
- W4320032657 hasLocation W43200326571 @default.
- W4320032657 hasLocation W43200326572 @default.
- W4320032657 hasLocation W43200326573 @default.