Recent trends in smartphone-based detection for biomedical applications: a review

Area of Science:

• Biomedical imaging
• Medical technology
• Optical engineering

Background:

• Smartphone-based imaging devices (SIDs) are increasingly vital for accessible healthcare.
• Their portability and versatility address the demand for quality medical services in remote or resource-limited settings.
• SIDs are adaptable to various optical configurations (bright-field, fluorescence, dark-field) for diverse applications.

Purpose of the Study:

• To provide a comprehensive review of the applications and development of SIDs.
• To highlight the role of SIDs in histopathology, infectious disease detection, food technology, and routine diagnostics.
• To explore the synergy between SIDs and deep learning for enhanced diagnostic efficiency.

Main Methods:

• Review of existing literature on smartphone-based imaging devices.
• Analysis of optical arrangements and illumination techniques for SIDs.
• Discussion of integration with deep learning algorithms for image analysis.

Main Results:

• SIDs demonstrate broad utility across biomedical fields, including diagnostics and food safety.
• Adaptable optical setups enable diverse imaging modalities using SIDs.
• Deep learning integration significantly boosts the performance and efficiency of SIDs.

Conclusions:

• Smartphone-based imaging devices represent a significant technological advancement in portable diagnostics.
• Their adaptability and integration with AI promise to revolutionize healthcare delivery, especially in underserved areas.
• Further development of SIDs holds potential for widespread impact across various scientific and medical disciplines.