Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Department of Biotechnology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Anal Bioanal Chem. 2021 Apr;413(9):2389-2406. doi: 10.1007/s00216-021-03184-z. Epub 2021 Feb 15.
Smartphone-based imaging devices (SIDs) have shown to be versatile and have a wide range of biomedical applications. With the increasing demand for high-quality medical services, technological interventions such as portable devices that can be used in remote and resource-less conditions and have an impact on quantity and quality of care. Additionally, smartphone-based devices have shown their application in the field of teleimaging, food technology, education, etc. Depending on the application and imaging capability required, the optical arrangement of the SID varies which enables them to be used in multiple setups like bright-field, fluorescence, dark-field, and multiple arrays with certain changes in their optics and illumination. This comprehensive review discusses the numerous applications and development of SIDs towards histopathological examination, detection of bacteria and viruses, food technology, and routine diagnosis. Smartphone-based devices are complemented with deep learning methods to further increase the efficiency of the devices. Graphical Abstract.
基于智能手机的成像设备（SIDs）已经显示出多功能性，并具有广泛的生物医学应用。随着对高质量医疗服务的需求不断增加，技术干预措施，如可在远程和资源匮乏的条件下使用的便携式设备，以及对医疗质量和数量产生影响的设备，变得越来越重要。此外，基于智能手机的设备已经在远程成像、食品技术、教育等领域展示了它们的应用。根据所需的应用和成像功能，SID 的光学排列会有所不同，这使得它们可以在多种设置中使用，如明场、荧光、暗场和多个阵列，并在其光学和照明方面进行某些改变。这篇全面的综述讨论了 SIDs 在组织病理学检查、细菌和病毒检测、食品技术以及常规诊断方面的众多应用和发展。基于智能手机的设备与深度学习方法相结合，以进一步提高设备的效率。
