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Technical Brief

Automated Fluorescence Microscope for Tuberculosis Detection1

[+] Author and Article Information
Kylie de Jager, Shaun Fickling, Tania S. Douglas

MRC/UCT Medical Imaging Research Unit,
University of Cape Town,
Cape Town, South Africa

Sriram Krishnan

MRC/UCT Medical Imaging Research Unit,
University of Cape Town,
Cape Town, South Africa

Massi Jabbari

Hochschule Mannheim,
Mannheim, Germany

Genevieve Warner Learmonth

Division of Anatomical Pathology,
University of Cape Town,
Cape Town, South Africa

Accepted and presented at the Design of Medical Devices Conference (DMD2014), Minneapolis, MN, April 7-10, 2014.DOI: 10.1115/1.4027111

Manuscript received February 21, 2014; final manuscript received March 3, 2014; published online July 21, 2014. Editor: Arthur G. Erdman.

J. Med. Devices 8(3), 030943 (Jul 21, 2014) (2 pages) Paper No: MED-14-1117; doi: 10.1115/1.4027111 History: Received February 21, 2014; Revised March 03, 2014

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References

WHO, 2013, “Global Tuberculosis Report 2013,” World Health Organization, Geneva, Switzerland, http://www.who.int/tb/publications/global_report/en/
Steingart, K. R., Henry, M., Ng, V., Hopewell, P. C., Ramsay, A., Cunningham, J., Urbanczik, R., Perkins, M., Aziz, M. A., and Pai, M., 2006, “Fluorescence Versus Conventional Sputum Smear Microscopy for Tuberculosis: A Systematic Review,” Lancet Infect. Dis., 6(9), pp. 570–581. [CrossRef] [PubMed]
Trébucq, A., Enarson, D. A., Chiang, C. Y., Van Deun, A., Harries, A. D., Boillot, F., Detjen, A., Fujiwara, P. I., Graham, S. M., Monedero, I., Rusen, I. D., and Rieder, H. L., 2011, “Xpert® MTB/RIF for National Tuberculosis Programmes in Low-Income Countries: When, Where and How?,” Int. J. Tuberc. Lung Dis., 15(12), pp. 1567–1572. [CrossRef] [PubMed]
Theron, G., Pooran, A., Peter, J., van Zyl-Smit, R., Kumar Mishra, H., Meldau, R., Calligaro, G., Allwood, B., Sharma, S. K., Dawson, R., and Dheda, K., 2012, “Do Adjunct Tuberculosis Tests, When Combined With Xpert MTB/RIF, Improve Accuracy and the Cost of Diagnosis in a Resource-Poor Setting?,” Eur. Resp. J., 40(1), pp. 161–168. [CrossRef]
WHO, 2011, “Fluorescent Light-Emitting Diode (LED) Microscopy for Diagnosis of Tuberculosis Policy,” World Health Organization, Geneva, Switzerland, http://www.who.int/tb/publications/2011/led_microscopy_diagnosis_9789241501613/en/index.html
Van Deun, A., Salim, A. H., Cooreman, E., Hossain, M. A., Rema, A., Chambugonj, N., Hye Md., A., Kawria, A., and Declercq, E., 2002, “Optimal Tuberculosis Case Detection by Direct Sputum Smear Microscopy: How Much Better is More?,” Int. J. Tuberc. Lung Dis., 6(3), pp. 222–230. [PubMed]
Dendere, R., Osibote, O. A., Krishnan, S., and Douglas, T. S., 2013, “Comparison of Image Fusion and Focus Function-Based Techniques for Autofocusing in Fluorescence Microscopy for Tuberculosis Screening,” Int. J. Med. Eng. Inform., 5(2), pp. 177–189. [CrossRef]
Osibote, O. A., Dendere, R., Krishnan, S., and Douglas, T. S., 2010, “Automated Focusing in Bright-Field Microscopy for Tuberculosis Detection,” J. Microsc., 240(2), pp. 155–163. [CrossRef] [PubMed]
Khutlang, R., Krishnan, S., Dendere, R., Whitelaw, A., Veropoulos, K., Learmonth, G., and Douglas, T. S., 2010, “Classification of Mycobacterium Tuberculosis in Images of ZN-Stained Sputum Smears,” IEEE Trans. Inf. Technol. Biomed., 14(4), pp. 949–957. [CrossRef] [PubMed]
Forero, M. G., Cristóbal, G., and Desco, M., 2006, “Automatic Identification of Mycobacterium Tuberculosis by Gaussian Mixture Models,” J. Microsc., 223(2), pp. 120–132. [CrossRef] [PubMed]

Figures

Grahic Jump Location
Fig. 1

Automated LED fluorescence microscope

Grahic Jump Location
Fig. 2

Captured and enhanced (before object classification) images: (a) true positive, (b) false positive, (c)–(e) false negatives

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