Toward next-generation endoscopes integrating biomimetic video systems, nonlinear optical microscopy, and deep learning

Stefan G. Stanciu*, Karsten König, Young Min Song, Lior Wolf, Costas A. Charitidis, Paolo Bianchini, Martin Goetz

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

According to the World Health Organization, the proportion of the world's population over 60 years will approximately double by 2050. This progressive increase in the elderly population will lead to a dramatic growth of age-related diseases, resulting in tremendous pressure on the sustainability of healthcare systems globally. In this context, finding more efficient ways to address cancers, a set of diseases whose incidence is correlated with age, is of utmost importance. Prevention of cancers to decrease morbidity relies on the identification of precursor lesions before the onset of the disease, or at least diagnosis at an early stage. In this article, after briefly discussing some of the most prominent endoscopic approaches for gastric cancer diagnostics, we review relevant progress in three emerging technologies that have significant potential to play pivotal roles in next-generation endoscopy systems: biomimetic vision (with special focus on compound eye cameras), non-linear optical microscopies, and Deep Learning. Such systems are urgently needed to enhance the three major steps required for the successful diagnostics of gastrointestinal cancers: detection, characterization, and confirmation of suspicious lesions. In the final part, we discuss challenges that lie en route to translating these technologies to next-generation endoscopes that could enhance gastrointestinal imaging, and depict a possible configuration of a system capable of (i) biomimetic endoscopic vision enabling easier detection of lesions, (ii) label-free in vivo tissue characterization, and (iii) intelligently automated gastrointestinal cancer diagnostic.

Original languageEnglish
Article number021307
JournalBiophysics Reviews
Volume4
Issue number2
DOIs
StatePublished - 1 Jun 2023

Funding

FundersFunder number
European Cooperation in Science and TechnologyCA19118
Gwangju Institute of Science and Technology
Ministry of Science, ICT and Future Planning2023R1A2C3004531, 2023-DD-UP-0015
National Research Foundation of Korea
Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si InovariiPN-III-P2-2.1-PED-2019-1666, RO-NO-2019-0601

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