Use of scanning electron microscopy and energy dispersive X-ray for urine analysis: A preliminary investigation
- PMID: 36773029
- DOI: 10.1002/jemt.24301
Use of scanning electron microscopy and energy dispersive X-ray for urine analysis: A preliminary investigation
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.
Keywords: crystal; energy dispersive X-ray; scanning electron microscopy; urinalysis; urinary tract infection.
© 2023 The Authors. Microscopy Research and Technique published by Wiley Periodicals LLC.
Similar articles
-
Study of the structure of struvite stones with scanning electron microscopy and energy-dispersive X-ray microanalysis.Urol Int. 1997;58(2):88-92. doi: 10.1159/000282957. Urol Int. 1997. PMID: 9096269
-
Pecten oculi of kestrel (Falco tinnunculus rupicolaeformes) and little owl (Athene noctua glaux): Scanning electron microscopy and histology with unique insights into SEM-EDX elemental analysis.Microsc Res Tech. 2024 Mar;87(3):546-564. doi: 10.1002/jemt.24449. Epub 2023 Nov 13. Microsc Res Tech. 2024. PMID: 37955171
-
Matrix crystals in cytologic urine specimens: observations on their mineral composition by energy dispersive X-ray microanalysis and morphologic scanning electron microscopy.Diagn Cytopathol. 1994;11(1):38-46. doi: 10.1002/dc.2840110110. Diagn Cytopathol. 1994. PMID: 7956658
-
X-ray microanalysis of urinary stones, a comparison with other methods.Scan Electron Microsc. 1985;(Pt 3):1239-46. Scan Electron Microsc. 1985. PMID: 2999968 Review.
-
[Clinical value of crystalluria study].Ann Biol Clin (Paris). 2004 Jul-Aug;62(4):379-93. Ann Biol Clin (Paris). 2004. PMID: 15297232 Review. French.
References
REFERENCES
-
- Abedini, A., Zhu, Y. O., Chatterjee, S., Halasz, G., Devalaraja-Narashimha, K., Shrestha, R., Balzer, M. S., Park, J., Zhou, T., Ma, Z., Sullivan, K. M., Hu, H., Sheng, X., Liu, H., Wei, Y., Boustany-Kari, C. M., Patel, U., Almaani, S., Palmer, M., … Susztak, K. (2021). Urinary single-cell profiling captures the cellular diversity of the kidney. Journal of the American Society of Nephrology, 32(3), 614-627. https://doi.org/10.1681/ASN.2020050757
-
- Barba, T., Wach, J., Lustig, S., Laurent, F., Devouassoux-Shisheboran, M., Valour, F., Chidiac, C., Ferry, T., & Lyon BJI Study Group. (2015). Metallosis-associated prosthetic joint infection. Medecine et Maladies Infectieuses, 45(11-12), 484-487. https://doi.org/10.1016/j.medmal.2015.09.009
-
- Bilen, B., Ates Alkan, F., Barutcu, U. B., Sezen, M., Unlu, M. B., & Aghayev, K. (2018). Examination of metal mobilization from a gunshot by scanning acoustic microscopy, scanning electron microscopy, energy-dispersive X-ray spectroscopy, and inductively coupled plasma optical emission spectroscopy: A case report. Journal of Medical Case Reports, 12, 391. https://doi.org/10.1186/s13256-018-1905-7
-
- Bilen, B., Sener, L. T., Albeniz, I., Sezen, M., Unlu, M. B., & Ugurlucan, M. (2019). Determination of ultrastructural properties of human carotid atherosclerotic plaques by scanning acoustic microscopy, micro-computer tomography, scanning electron microscopy and energy dispersive X-ray spectroscopy. Scientific Reports, 9, 679. https://doi.org/10.1038/s41598-018-37480-z
-
- Booth, M. J. (2014). Adaptive optical microscopy: The ongoing quest for a perfect image. Light: Science & Applications, 3(4), e165. https://doi.org/10.1038/lsa.2014.46
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources