Cargando…
Comparing image quality and trachoma detection across three camera types from a survey in Kongwa, Tanzania
BACKGROUND: There is an increasing demand for photography for trachoma prevalence surveys. In previous studies, digital single lens reflex (DSLR) images were superior to smartphone images, but newer-model smartphones and/or lens attachments may be able to bridge this gap. This study compares the ima...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10695420/ https://www.ncbi.nlm.nih.gov/pubmed/38048378 http://dx.doi.org/10.1093/inthealth/ihad054 |
_version_ | 1785153562274168832 |
---|---|
author | Aguwa, Ugochi T Mkocha, Harran Munoz, Beatriz Wolle, Meraf A Brady, Christopher J West, Sheila K |
author_facet | Aguwa, Ugochi T Mkocha, Harran Munoz, Beatriz Wolle, Meraf A Brady, Christopher J West, Sheila K |
author_sort | Aguwa, Ugochi T |
collection | PubMed |
description | BACKGROUND: There is an increasing demand for photography for trachoma prevalence surveys. In previous studies, digital single lens reflex (DSLR) images were superior to smartphone images, but newer-model smartphones and/or lens attachments may be able to bridge this gap. This study compares the image quality and ability to detect trachomatous inflammation – follicular (TF) of three camera types: a DSLR Nikon camera, an iPhone SE and an iPhone 13 Pro with a cell scope. METHODS: We surveyed 62 children ages 1–7 y from two Tanzanian communities. Upper tarsal conjunctiva images of both eyes were graded for TF by two standardized graders. The McNemar's test and a logistic regression model were used for analyses. RESULTS: The DSLR camera malfunctioned during the study, thus the iPhone SE and iPhone 13 Pro with cell scope were both more likely to take high-quality, gradable photographs (88% and 86%, respectively) compared with the DSLR camera (69%) (p<0.001 and p=0.02, respectively). TF was detected in gradable images from the iPhone SE (8.8%) and iPhone 13 Pro with cell scope (9.0%) at the same rate (p=1.0) as images from the DSLR camera (9.7%). CONCLUSION: Smartphones with high-quality image capture, like the iPhone SE/13 Pro, have the potential for use in trachoma surveys if the proportion of gradable images can be improved. |
format | Online Article Text |
id | pubmed-10695420 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106954202023-12-05 Comparing image quality and trachoma detection across three camera types from a survey in Kongwa, Tanzania Aguwa, Ugochi T Mkocha, Harran Munoz, Beatriz Wolle, Meraf A Brady, Christopher J West, Sheila K Int Health Original Article BACKGROUND: There is an increasing demand for photography for trachoma prevalence surveys. In previous studies, digital single lens reflex (DSLR) images were superior to smartphone images, but newer-model smartphones and/or lens attachments may be able to bridge this gap. This study compares the image quality and ability to detect trachomatous inflammation – follicular (TF) of three camera types: a DSLR Nikon camera, an iPhone SE and an iPhone 13 Pro with a cell scope. METHODS: We surveyed 62 children ages 1–7 y from two Tanzanian communities. Upper tarsal conjunctiva images of both eyes were graded for TF by two standardized graders. The McNemar's test and a logistic regression model were used for analyses. RESULTS: The DSLR camera malfunctioned during the study, thus the iPhone SE and iPhone 13 Pro with cell scope were both more likely to take high-quality, gradable photographs (88% and 86%, respectively) compared with the DSLR camera (69%) (p<0.001 and p=0.02, respectively). TF was detected in gradable images from the iPhone SE (8.8%) and iPhone 13 Pro with cell scope (9.0%) at the same rate (p=1.0) as images from the DSLR camera (9.7%). CONCLUSION: Smartphones with high-quality image capture, like the iPhone SE/13 Pro, have the potential for use in trachoma surveys if the proportion of gradable images can be improved. Oxford University Press 2023-12-04 /pmc/articles/PMC10695420/ /pubmed/38048378 http://dx.doi.org/10.1093/inthealth/ihad054 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Article Aguwa, Ugochi T Mkocha, Harran Munoz, Beatriz Wolle, Meraf A Brady, Christopher J West, Sheila K Comparing image quality and trachoma detection across three camera types from a survey in Kongwa, Tanzania |
title | Comparing image quality and trachoma detection across three camera types from a survey in Kongwa, Tanzania |
title_full | Comparing image quality and trachoma detection across three camera types from a survey in Kongwa, Tanzania |
title_fullStr | Comparing image quality and trachoma detection across three camera types from a survey in Kongwa, Tanzania |
title_full_unstemmed | Comparing image quality and trachoma detection across three camera types from a survey in Kongwa, Tanzania |
title_short | Comparing image quality and trachoma detection across three camera types from a survey in Kongwa, Tanzania |
title_sort | comparing image quality and trachoma detection across three camera types from a survey in kongwa, tanzania |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10695420/ https://www.ncbi.nlm.nih.gov/pubmed/38048378 http://dx.doi.org/10.1093/inthealth/ihad054 |
work_keys_str_mv | AT aguwaugochit comparingimagequalityandtrachomadetectionacrossthreecameratypesfromasurveyinkongwatanzania AT mkochaharran comparingimagequalityandtrachomadetectionacrossthreecameratypesfromasurveyinkongwatanzania AT munozbeatriz comparingimagequalityandtrachomadetectionacrossthreecameratypesfromasurveyinkongwatanzania AT wollemerafa comparingimagequalityandtrachomadetectionacrossthreecameratypesfromasurveyinkongwatanzania AT bradychristopherj comparingimagequalityandtrachomadetectionacrossthreecameratypesfromasurveyinkongwatanzania AT westsheilak comparingimagequalityandtrachomadetectionacrossthreecameratypesfromasurveyinkongwatanzania |