Data and Image Transfer Using Mobile Phones to Strengthen Microscopy-Based Diagnostic Services in Low and Middle Income Country Laboratories
Open accessAbstract
BACKGROUND: The emerging market of mobile phone technology and its use in the health sector is rapidly expanding and connecting even the most remote areas of world. Distributing diagnostic images over the mobile network for knowledge sharing, feedback or quality control is a logical innovation. OBJECTIVE: To determine the feasibility of using mobile phones for capturing microscopy images and transferring these to a central database for assessment, feedback and educational purposes. METHODS: A feasibility study was carried out in Uganda. Images of microscopy samples were taken using a prototype connector that could fix a variety of mobile phones to a microscope. An Information Technology (IT) platform was set up for data transfer from a mobile phone to a website, including feedback by text messaging to the end user. RESULTS: Clear images were captured using mobile phone cameras of 2 megapixels (MP) up to 5MP. Images were sent by mobile Internet to a website where they were visualized and feedback could be provided to the sender by means of text message. CONCLUSION: The process of capturing microscopy images on mobile phones, relaying them to a central review website and feeding back to the sender is feasible and of potential benefit in resource poor settings. Even though the system needs further optimization, it became evident from discussions with stakeholders that there is a demand for this type of technology.
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Preventive health was the third most prevalent outcome, occurring in 5 of 30 articles (17%).
“The third most prevalent outcome was preventive health, occurring in 5 of 30 (17%) articles [22,52-55].”
From Barriers to the Use of Mobile Health in Improving Health Outcomes in Developing Countries: Systematic Review (2019) · cites this paper as [54]
Interventions using multimedia messages had a frequency of 2 of 26 (4%).
“Interventions using multimedia messages had a frequency of 2 of 26 (4%) [27,54].”
From Barriers to the Use of Mobile Health in Improving Health Outcomes in Developing Countries: Systematic Review (2019) · cites this paper as [54]
Images can be captured by community health workers (CHWs) and transmitted wirelessly for diagnosis by doctors.
“Importantly, images can be captured by community health workers (CHWs) and transmitted wirelessly for diagnosis by doctors (45, 70).”
From Assessing the impact of mHealth interventions in low- and middle-income countries – what has been shown to work? (2014) · cites this paper as [45]
A feasibility study in Uganda demonstrated that data transfer via MMS and mobile Internet direct from the phone to a central database for reporting by trained pathologists was possible.
“A feasibility study in Uganda demonstrated that data transfer via MMS and mobile Internet direct from the phone to a central database for reporting by trained pathologists was possible (45).”
From Assessing the impact of mHealth interventions in low- and middle-income countries – what has been shown to work? (2014) · cites this paper as [45]
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Cites
A Review of Malaria Diagnostic Tools: Microscopy and Rapid Diagnostic Test (RDT)
Wongsrichanalai, C., Barcus, M. J., Muth, S., Sutamihardja, A., & Wernsdorfer, W. H. (2007) · American Journal of Tropical Medicine and Hygiene · doi:10.4269/ajtmh.2007.77.119 · Cited by 940 · see citing works
Fluorescence versus conventional sputum smear microscopy for tuberculosis: a systematic review
Steingart, K. R., Henry, M., Ng, V., Hopewell, P. C., Ramsay, A., Cunningham, J. A., Urbanczik, R., Perkins, M. D., Aziz, M. A., & Pai, M. (2006) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(06)70578-3 · Cited by 801 · see citing works
Laboratory medicine in Africa: a barrier to effective health care
Petti, C. A., Polage, C. R., Quinn, T. C., Ronald, A. R., & Sande, M. A. (2006) · Clinical Infectious Diseases · doi:10.1086/499363 · Cited by 749 · see citing works
Mobile Phone Based Clinical Microscopy for Global Health Applications
Breslauer, D. N., Maamari, R. N., Switz, N. A., Lam, W. A., & Fletcher, D. A. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006320 · Cited by 694 · see citing works
Access to health care in developing countries: breaking down demand side barriers
O'Donnell, O. (2007) · Cadernos de Saúde Pública · doi:10.1590/s0102-311x2007001200003 · Cited by 567 · see citing works
Lensfree microscopy on a cellphone
Tseng, D. K., Mudanyali, O., Oztoprak, C., Isikman, S. O., Şencan, İ., Yaglidere, O., & Özcan, A. (2010) · Lab on a Chip · doi:10.1039/c003477k · Cited by 480 · see citing works
Nsubuga, P., Nwanyanwu, O. C., Nkengasong, J. N., Mukanga, D., & Trostle, M. (2010) · BMC Public Health · doi:10.1186/1471-2458-10-s1-s5 · Cited by 133 · see citing works
Mobile cell-phones (M-phones) in telemicroscopy: increasing connectivity of isolated laboratories
Bellina, L., & Missoni, E. (2009) · Diagnostic Pathology · doi:10.1186/1746-1596-4-19 · Cited by 129 · see citing works
Can the power of mobile phones be used to improve tuberculosis diagnosis in developing countries?
Zimic, M., Coronel, J., Gilman, R. H., Luna, C. G., Curioso, W. H., & Moore, D. (2008) · Transactions of the Royal Society of Tropical Medicine and Hygiene · doi:10.1016/j.trstmh.2008.10.015 · Cited by 68 · see citing works
The Emergence of Mobile-Supported National Health Information Systems in Developing Countries
Asangansi, I., & Braa, K. (2010) · Studies in health technology and informatics · doi:10.3233/978-1-60750-588-4-540 · Cited by 57 · see citing works
Cost Implications of Improving Malaria Diagnosis: Findings from North-Eastern Tanzania
Mosha, J. F., Conteh, L., Tediosi, F., Gesase, S., Bruce, J., Chandramohan, D., & Gosling, R. D. (2010) · PLoS ONE · doi:10.1371/journal.pone.0008707 · Cited by 47 · see citing works
Microscopic images transmitted by mobile cameraphone
Frean, J. (2007) · Transactions of the Royal Society of Tropical Medicine and Hygiene · doi:10.1016/j.trstmh.2007.06.008 · Cited by 31 · see citing works
There's an app for that--mHealth takes center stage.
Krohn, R. (2010) · PubMed · Cited by 7 · see citing works
Mobile Camera Microphotography: A Simple But Elegant Technique For Telediagnosis of Malaria
Cs, G., Patkar, S. S., Ns, N., Amonkar, A., Vaidya, R., Raut, A., & Vaidya, A. (2008) · Cited by 6 · see citing works
Microscope and Mobile Phones: Product Development in Uganda
van Limmeren, R., Chevrollier, N., Esser, P. E., & Kandachar, P. (2009) · Cited by 2 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Hall, C. S., Fottrell, E., Wilkinson, S., & Byass, P. (2014) · Global Health Action · doi:10.3402/gha.v7.25606 · Cited by 384 · see citing works
Kruse, C., Betancourt, J., Ortiz, S., Valdes Luna, S. M., Bamrah, I. K., & Segovia, N. (2019) · Journal of Medical Internet Research · doi:10.2196/13263 · Cited by 299 · see citing works
Quantitative Imaging with a Mobile Phone Microscope
Skandarajah, A., Reber, C. D., Switz, N. A., & Fletcher, D. A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0096906 · Cited by 196 · see citing works
Colorectal smartphone apps: opportunities and risks
O’Neill, S., & Brady, R. R. W. (2012) · Colorectal Disease · doi:10.1111/j.1463-1318.2012.03088.x · Cited by 165 · see citing works
Luengo-Oroz, M. A., Arranz, A., & Frean, J. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.2338 · Cited by 113 · see citing works
Bogoch, I. I., Andrews, J. R., Speich, B., Utzinger, J., Ame, S. M., Ali, S. M., & Keiser, J. (2013) · American Journal of Tropical Medicine and Hygiene · doi:10.4269/ajtmh.12-0742 · Cited by 110 · see citing works
Holmström, O., Linder, N., Ngasala, B., Mårtensson, A., Linder, E., Lundin, M., Moilanen, H., Suutala, A., Diwan, V. K., & Lundin, J. E. (2017) · Global Health Action · doi:10.1080/16549716.2017.1337325 · Cited by 104 · see citing works
Human Ascariasis: Diagnostics Update
Lamberton, P. H. L., & Jourdan, P. M. (2015) · Current Tropical Medicine Reports · doi:10.1007/s40475-015-0064-9 · Cited by 101 · see citing works
Smartphone apps in microbiology—is better regulation required?
Visvanathan, A., Hamilton, A., & Brady, R. R. W. (2012) · Clinical Microbiology and Infection · doi:10.1111/j.1469-0691.2012.03892.x · Cited by 82 · see citing works
Mobile microscopy as a screening tool for oral cancer in India: A pilot study
Skandarajah, A., Sunny, S. P., Gurpur, P., Reber, C. D., D’Ambrosio, M. V., Raghavan, N., James, B. L., Ramanjinappa, R. D., Suresh, A., Kandasarma, U., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0188440 · Cited by 82 · see citing works
Novel device for male infertility screening with single-ball lens microscope and smartphone
Kobori, Y., Pfanner, P., Prins, G. S., & Niederberger, C. (2016) · Fertility and Sterility · doi:10.1016/j.fertnstert.2016.05.027 · Cited by 76 · see citing works
Mobile Digital Fluorescence Microscopy for Diagnosis of Tuberculosis
Tapley, A., Switz, N. A., Reber, C. D., Davis, J. L., Miller, C. R., Matovu, J., Worodria, W. O., Huang, L., Fletcher, D. A., & Cattamanchi, A. (2013) · Journal of Clinical Microbiology · doi:10.1128/jcm.03432-12 · Cited by 61 · see citing works
Mukadi, P., Lejon, V., Barbé, B., Gillet, P., Nyembo, C., Lukuka, A., Likwela, J. L., Lumbala, C., Mbaruku, J., der Veken, W. V., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0146450 · Cited by 58 · see citing works
External quality assessment in resource–limited countries
Carter, J. Y. (2017) · Biochemia Medica · doi:10.11613/bm.2017.013 · Cited by 52 · see citing works
Mobile phones improve case detection and management of malaria in rural Bangladesh
Prue, C. S., Shannon, K., Khyang, J., Edwards, L., Ahmed, S., Ram, M., Shields, T., Hossain, M. S., Glass, G. E., Nyunt, M. M., et al. (2013) · Malaria Journal · doi:10.1186/1475-2875-12-48 · Cited by 50 · see citing works
Islam, S. M. S., Tabassum, R., Liu, Y., Chen, S., Redfern, J., Kim, S., Ball, K., Maddison, R., & Chow, C. K. (2019) · Health Policy and Technology · doi:10.1016/j.hlpt.2019.01.001 · Cited by 46 · see citing works
Bogoch, I. I., Coulibaly, J. T., Andrews, J. R., Speich, B., Keiser, J., Stothard, J. R., N'Goran, E. K., & Utzinger, J. (2014) · Parasitology · doi:10.1017/s0031182014000432 · Cited by 40 · see citing works
“Smart Diagnosis” of Parasitic Diseases by Use of Smartphones
Saeed, M. A., & Jabbar, A. (2017) · Journal of Clinical Microbiology · doi:10.1128/jcm.01469-17 · Cited by 39 · see citing works
Smartphone laser beam spatial profiler
Hossain, M. A., Canning, J., Cook, K., & Jamalipour, A. (2015) · Optics Letters · doi:10.1364/ol.40.005156 · Cited by 37 · see citing works
From Sophisticated Analysis to Colorimetric Determination: Smartphone Spectrometers and Colorimetry
Kılıç, V., Horzum, N., & Solmaz, M. E. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.82227 · Cited by 35 · see citing works
Ganesan, M., Christyraj, J. R. S. S., Venkatachalam, S., Yesudhason, B. V., Chelladurai, K. S., Mohan, M., Kalishwaralal, K., Narkhede, Y. B., & Christyraj, J. D. S. (2022) · Microscopy Research and Technique · doi:10.1002/jemt.24205 · Cited by 25 · see citing works
Kwon, H. N., Park, J., An, Y., Sim, J., & Park, S. (2014) · Analytica Chimica Acta · doi:10.1016/j.aca.2014.08.006 · Cited by 24 · see citing works
Jahan-Tigh, R. R., Chinn, G. M., & Rapini, R. P. (2015) · Archives of Pathology & Laboratory Medicine · doi:10.5858/arpa.2014-0593-oa · Cited by 22 · see citing works
Image Quality Characteristics of Handheld Display Devices for Medical Imaging
Yamazaki, A., Liu, P. X., Cheng, W., & Badano, A. G. (2013) · PLoS ONE · doi:10.1371/journal.pone.0079243 · Cited by 23 · see citing works
A review of cellphone microscopy for disease detection
Dendere, R., MYBURG, N., & Douglas, T. S. (2015) · Journal of Microscopy · doi:10.1111/jmi.12307 · Cited by 23 · see citing works
Smartphone-Supported Malaria Diagnosis Based on Deep Learning
Yang, F., Yu, H., Silamut, K., Maude, R. J., Jaeger, S., & Antani, S. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-32692-0_9 · Cited by 22 · see citing works
Rhoads, D. D., Mathison, B. A., Bishop, H. S., da Silva, A. J., & Pantanowitz, L. (2015) · Archives of Pathology & Laboratory Medicine · doi:10.5858/arpa.2015-0116-ra · Cited by 20 · see citing works
Parasite Detection in Thick Blood Smears Based on Customized Faster-RCNN on Smartphones
Yang, F., Yu, H., Silamut, K., Maude, R. J., Jaeger, S., & Antani, S. (2019) · IEEE Applied Imagery Pattern Recognition Workshop · doi:10.1109/aipr47015.2019.9174565 · Cited by 18 · see citing works
Gupta, R., Reifenberger, R. G., & Kulkarni, G. U. (2014) · ACS Applied Materials & Interfaces · doi:10.1021/am4050426 · Cited by 18 · see citing works
Mukadi, P., Gillet, P., Barbé, B., Luamba, J., Lukuka, A., Likwela, J. L., Ngoyi, D. M., Muyembe, J., Lutumba, P. T., & Jacobs, J. A. (2015) · Malaria Journal · doi:10.1186/s12936-014-0535-9 · Cited by 17 · see citing works
An adoption model describing clinician’s acceptance of automated diagnostic system for tuberculosis
Panicker, R. O., Soman, B., Gangadharan, K. V., & Sobhana, N. V. (2016) · Health and Technology · doi:10.1007/s12553-016-0136-4 · Cited by 17 · see citing works
A novel camera phone-based platform for quantitative fluorescence sensing
O'Driscoll, S., MacCraith, B. D., & Burke, C. S. (2013) · Analytical Methods · doi:10.1039/c3ay40116b · Cited by 16 · see citing works
Bogoch, I. I., Andrews, J. R., Speich, B., Ame, S. M., Ali, S. M., Stothard, J. R., Utzinger, J., & Keiser, J. (2014) · American Journal of Tropical Medicine and Hygiene · doi:10.4269/ajtmh.14-0253 · Cited by 16 · see citing works
Mobile Phones in Data Collection
Şahin, F., & Yan, Z. (2013) · International Journal of Cyber Behavior Psychology and Learning · doi:10.4018/ijcbpl.2013070106 · Cited by 16 · see citing works
Damodaran, K., Crestani, M., Jokhun, D. S., & Shivashankar, G. V. (2019) · PLoS ONE · doi:10.1371/journal.pone.0218757 · Cited by 12 · see citing works
Factors influencing the adoption of computerized medical diagnosing system for tuberculosis
Panicker, R. O., & Sabu, M. K. (2019) · International Journal of Information Technology · doi:10.1007/s41870-019-00396-6 · Cited by 12 · see citing works
Barnor-Ahiaku, E. (2016) · Ghana Medical Journal · doi:10.4314/gmj.v50i1.8 · Cited by 11 · see citing works
Jandee, K., Kaewkungwal, J., Khamsiriwatchara, A., Lawpoolsri, S., Wongwit, W., & Wansatid, P. (2015) · JMIR mhealth and uhealth · doi:10.2196/mhealth.4183 · Cited by 10 · see citing works
Design of New Procedures for Diagnosing Prevalent Diseases Using a Low-Cost Telemicroscopy System
Prieto-Egido, I., González-Escalada, A., García-Giganto, V., & Martínez-Fernández, A. (2016) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2015.0208 · Cited by 8 · see citing works
Yen, C.-H., Wang, G., Lin, T. Y., & Lin, T. (2019) · Taiwan Journal of Ophthalmology · doi:10.4103/tjo.tjo_19_18 · Cited by 7 · see citing works
From reverse innovation to global innovation in animal health: A review
Crump, L., Osman, Y. M., Mauti, S., Tschopp, R., Ali, S. M., Abtidon, R., Bourhy, H., Kéïta, Z., Doumbia, S., Traoré, A., et al. (2021) · Heliyon · doi:10.1016/j.heliyon.2021.e08044 · Cited by 6 · see citing works
Ssentongo, P., Candela, X., Amoah, A. K. S., Opare, J. N., Arkorful, T. E., Tsai, A., Amponsah‐Manu, F., & Oh, J. S. (2018) · Journal of Pediatric Surgery Case Reports · doi:10.1016/j.epsc.2018.04.015 · Cited by 6 · see citing works
Smartphone Based Microfluidic Biosensor for Leukocyte Quantification at the Point-of-Care
Sami, M. A., Wagner, K., Parikh, P., & Hassan, U. (2019) · IEEE Healthcare Innovations and Point of Care Technologies Conference (HI-POCT) · doi:10.1109/hi-poct45284.2019.8962697 · Cited by 6 · see citing works
Qualitative Study on the Applications of Smartphones in Medical Research
Abeynaike, L. (2012) · Journal of Mobile Technology in Medicine · doi:10.7309/jmtm.7 · Cited by 5 · see citing works
Towards e‐parasitology: making use of virtual microscopy
Abdul-Ghani, R. A. (2014) · Tropical Medicine & International Health · doi:10.1111/tmi.12426 · Cited by 4 · see citing works
Knowledge Sharing for Healthcare and Medicine in Developing Countries
Moahi, K. H., & Bwalya, K. J. (2017) · Advances in human services and public health (AHSPH) book series · doi:10.4018/978-1-5225-2262-1.ch004 · Cited by 4 · see citing works
Eye on Advances in Parasitology Diagnostics
El-Tonsy, M. M., & Nazeer, J. T. (2024) · International Journal of Medical Parasitology and Epidemiology Sciences · doi:10.34172/ijmpes.4171 · Cited by 3 · see citing works
Using smartphone cameras to photograph microscopic dermatologic images
Lee, K. C., Cossman, J. P., & Muglia, J. J. (2013) · Skin Research and Technology · doi:10.1111/srt.12097 · Cited by 3 · see citing works
Development of 5G-based Remote Ultrasound Education: Current Status and Future Trends
Ma, M. J., Jia, M. X., Li, M. G., Guo, M. D., Xi, X., Zhou, M. T., Liu, M. J.-B., & Zhang, M. B. (2023) · Advanced ultrasound in diagnosis and therapy · doi:10.37015/audt.2023.230022 · Cited by 2 · see citing works
Stick-on microscope for smartphones
Lee, W. M. (2014) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2032620 · Cited by 1 · see citing works
Tablets and Other Handheld Display Devices for Medical Imaging: An Image‐Quality Perspective
Badano, A. G., Yamazaki, A., Liu, P. X., & Cheng, W. (2013) · Information Display · doi:10.1002/j.2637-496x.2013.tb00628.x · Cited by 1 · see citing works
Knowledge Sharing for Healthcare and Medicine in Developing Countries
Moahi, K. H., & Bwalya, K. J. (2018) · IGI Global eBooks · doi:10.4018/978-1-5225-6915-2.ch061 · Cited by 1 · see citing works
Knowledge Sharing for Healthcare and Medicine in Developing Countries
Moahi, K. H., & Bwalya, K. J. (2017) · IGI Global eBooks · doi:10.4018/978-1-5225-3926-1.ch064 · Cited by 1 · see citing works
Foldscope as a diagnostic tool for identification of parasites of domesticated animals
Bal, M. S., Sagar, R., KAUR, P., MAHAJAN, V. K., Singla, L. D., & Singh, C. K. (2019) · The Indian Journal of Animal Sciences · doi:10.56093/ijans.v89i10.95002 · Cited by 1 · see citing works
Lee, W. M., Upadhya, A., & Phan, T. G. (2014) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2032754
McLean, R., & Gane, S. (2015) · IGI Global eBooks · doi:10.4018/978-1-4666-8239-9.ch070
Eilu, E., & Baguma, R. (2018) · EAI/Springer Innovations in Communication and Computing · doi:10.1007/978-3-319-93491-4_10
The Use of Mobile Chest X‐Rays for Tuberculosis Telemedicine
Jardon, M. L., Pomykala, K. L., Desai, I., & Pool, K.-L. (2019) · doi:10.1002/9781119282686.ch30
Increased usage of Smartphones in Medicine, an opportunity for Medical Cytogenetics
López, A. C., Torres, M. S., García, N. G., Mayedo, U. S., & Rosado, L. A. M. (2020) · RESEARCH RESULTS IN BIOMEDICINE · doi:10.18413/2658-6533-2020-6-4-0-2
Jamalipour, A., & Hossain, M. A. (2018) · Wireless networks · doi:10.1007/978-3-030-02095-8_1
- Authors
- Tuijn, C. J., Hoefman, B. J., van Beijma, H., Oskam, L., & Chevrollier, N.
- Affiliations
- Royal Tropical Institute (NL)
- Netherlands Organisation for Applied Scientific Research (NL)
- Corresponding author
- Tuijn, Coosje J.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2011-12-14
- Volume
- 6
- Issue
- 12
- Pages
- e28348
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3237433
- OpenAlex
- W2158021940
- Cited by
- 60
- References
- 15
- Citations by year
- 2024: 1 · 2023: 1 · 2022: 1 · 2021: 1 · 2020: 1 · 2019: 11 · 2018: 4 · 2017: 6 · 2016: 5 · 2015: 8 · 2014: 9 · 2013: 8 · 2012: 4
- FWCI
- 12.47
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- TNO Repository (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Repository hosted by TU Delft Library (TU Delft) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Technische Universiteit Delft
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
- Physical Sciences › Engineering › Biomedical Engineering › Biosensors and Analytical Detection
- Keywords
- mobile devices, diagnostic microscopy, image transmission, mobile health, low- and middle-income countries, laboratory quality control, resource-limited settings, health information technology
- MeSH terms
- Animals, Developing Countries, Diagnostic Services, Feasibility Studies, Humans, Income, Laboratories, Malaria, Microscopy, Parasites, Sputum, Uganda, Technology Transfer, Multimedia, Imaging, Three-Dimensional, Information Dissemination, Cell Phone
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