Mobile digital fluorescence microscopy for diagnosis of tuberculosis
- PMID: 23554191
- PMCID: PMC3716054
- DOI: 10.1128/JCM.03432-12
Mobile digital fluorescence microscopy for diagnosis of tuberculosis
Abstract
Access to sputum smear microscopy in high-tuberculosis (TB)-burden regions is limited by a scarcity of microscopes and experienced technicians. We evaluated the accuracy of CellScope, a novel digital fluorescence microscope that may expand access to microscopy. The study utilized smear microscopy slides prepared from sputum specimens submitted by consecutive adults with ≥ 2 weeks of cough who were admitted to Mulago Hospital (Kampala, Uganda). Conventional light-emitting diode (LED) fluorescence microscopy (FM) and mycobacterial culture were performed by experienced technicians. Two U.S.-based postgraduate researchers without prior microscopy experience restained, imaged, and interpreted the slides using CellScope. We assessed whether sensitivity and specificity of CellScope-based LED FM was noninferior to conventional LED FM by using a preselected margin of inferiority of 15%. Of 525 patients included, 72% were HIV seropositive and 39% had culture-confirmed TB. The proportions of positive results were similar with CellScope and conventional LED FM (34% versus 32%, respectively; P = 0.32), and agreement was substantial. CellScope accuracy was within the noninferiority margin for both sensitivity (63% versus 70%; difference, -7%; 95% confidence interval [CI], -13% to -1%) and specificity (85% versus 92%; difference, -7%; 95% CI, -12% to -3%). A subanalysis of 43 slides evaluated by each CellScope reader found substantial interreader reliability (custom-weighted kappa, 0.65) and variable intrareader reliability (custom-weighted kappa, 0.11 versus 0.48). CellScope offers promise for expanding microscopy services. Future studies should evaluate the device when operated by health workers in low-resource settings, the feasibility of image transmission and analysis by experienced microscopists, and the accuracy of automated image analysis algorithms.
Figures

Similar articles
-
Integrated strategies to optimize sputum smear microscopy: a prospective observational study.Am J Respir Crit Care Med. 2011 Feb 15;183(4):547-51. doi: 10.1164/rccm.201008-1207OC. Epub 2010 Sep 17. Am J Respir Crit Care Med. 2011. PMID: 20851925 Free PMC article.
-
Evaluation of combined LED-fluorescence microscopy and bleach sedimentation for diagnosis of tuberculosis at peripheral health service level.PLoS One. 2011;6(5):e20175. doi: 10.1371/journal.pone.0020175. Epub 2011 May 31. PLoS One. 2011. PMID: 21655284 Free PMC article.
-
Evaluation of mobile digital light-emitting diode fluorescence microscopy in Hanoi, Viet Nam.Int J Tuberc Lung Dis. 2015 Sep;19(9):1068-72. doi: 10.5588/ijtld.15.0018. Int J Tuberc Lung Dis. 2015. PMID: 26260826
-
Light-emitting diode fluorescence microscopy for tuberculosis diagnosis: a meta-analysis.Eur Respir J. 2016 Mar;47(3):929-37. doi: 10.1183/13993003.00978-2015. Epub 2015 Dec 2. Eur Respir J. 2016. PMID: 26647430 Review.
-
Critical appraisal of current recommendations and practices for tuberculosis sputum smear microscopy.Int J Tuberc Lung Dis. 2007 Sep;11(9):946-52. Int J Tuberc Lung Dis. 2007. PMID: 17705970
Cited by
-
Biomedical imaging and sensing using flatbed scanners.Lab Chip. 2014 Sep 7;14(17):3248-57. doi: 10.1039/c4lc00530a. Lab Chip. 2014. PMID: 24965011 Free PMC article. Review.
-
A Review of Automatic Methods Based on Image Processing Techniques for Tuberculosis Detection from Microscopic Sputum Smear Images.J Med Syst. 2016 Jan;40(1):17. doi: 10.1007/s10916-015-0388-y. Epub 2015 Oct 30. J Med Syst. 2016. PMID: 26573654 Review.
-
AI-assisted cervical cytology precancerous screening for high-risk population in resource-limited regions using a compact microscope.Nat Commun. 2025 Aug 11;16(1):7429. doi: 10.1038/s41467-025-62589-x. Nat Commun. 2025. PMID: 40790302 Free PMC article.
-
A lateral electrophoretic flow diagnostic assay.Lab Chip. 2015 Mar 21;15(6):1488-96. doi: 10.1039/c4lc01370k. Lab Chip. 2015. PMID: 25608872 Free PMC article.
-
Identification of pathogenic bacteria in complex samples using a smartphone based fluorescence microscope.RSC Adv. 2018 Oct 29;8(64):36493-36502. doi: 10.1039/c8ra06473c. eCollection 2018 Oct 26. RSC Adv. 2018. PMID: 35558922 Free PMC article.
References
-
- Lawn SD, Zumla AI. 2011. Tuberculosis. Lancet 378:57–72 - PubMed
-
- World Health Organization 2012. Global tuberculosis report 2012. World Health Organization, Geneva, Switzerland
-
- Keeler E, Perkins MD, Small P, Hanson C, Reed S, Cunningham J, Aledort JE, Hillborne L, Rafael ME, Girosi F, Dye C. 2006. Reducing the global burden of tuberculosis: the contribution of improved diagnostics. Nature 444(Suppl 1):49–57 - PubMed
-
- Dowdy DW, Chaisson RE, Moulton LH, Dorman SE. 2006. The potential impact of enhanced diagnostic techniques for tuberculosis driven by HIV: a mathematical model. AIDS 20:751–762 - PubMed
-
- Boehme CC, Nabeta P, Hillemann D, Nicol MP, Shenai S, Krapp F, Allen J, Tahirli R, Blakemore R, Rustomjee R, Milovic A, Jones M, O'Brien SM, Persing DH, Ruesch-Gerdes S, Gotuzzo E, Rodrigues C, Alland D, Perkins MD. 2010. Rapid molecular detection of tuberculosis and rifampin resistance. N. Engl. J. Med. 363:1005–1015 - PMC - PubMed
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical