Deep learning enhanced terahertz imaging of silkworm eggs development

Abstract

Terahertz (THz) technology lays the foundation for next-generation high-speed wireless communication, nondestructive testing, food safety inspecting, and medical applications. When THz technology is integrated by artificial intelligence (AI), it is confidently expected that THz technology could be accelerated from the laboratory research stage to practical industrial applications. Employing THz video imaging, we can gain more insights into the internal morphology of silkworm egg. Deep learning algorithm combined with THz silkworm egg images, rapid recognition of the silkworm egg development stages is successfully demonstrated, with a recognition accuracy of $98.5%. Through the fusion of optical imaging and THz imaging, we further improve the AI recognition accuracy of silkworm egg development stages to $99.2%. The proposed THz imaging technology not only features the intrinsic THz imaging advantages, but also possesses AI merits of low time consuming and high recognition accuracy, which can be extended to other application scenarios.

Spintronic terahertz emission with manipulated polarization (STEMP)

“…Adapted with permission from Refs. [30,31] of circularly polarized THz radiation at the source [72]. More interesting, using the intrinsic magnon resonance at 1 THz frequency of antiferromagnetic NiO single crystal materials depicted in Fig.…”

“…c THz sensing and imaging techniques enable practical applications in industry and biology. Adapted with permission from Refs [30,31].…”

Automated Prototype for Bombyx mori Cocoon Sorting Attempts to Improve Silk Quality and Production Efficiency through Multi-Step Approach and Machine Learning Algorithms

“…Although new technologies are available from other agricultural fields, the silk industry has not transitioned to them because it has always relied on cheap labor costs more than on advanced methodologies of processing [ 8 ]. In recent years, a series of attempts have been recorded to apply artificial intelligence (AI) [ 9 ] to the sericultural chain from eggs to raw silk production [ 10 ]. In particular, some technologies, such as machine learning’s generative adversarial networks (GANs), could allow the planning of silkworm rearing, describing certain parameters, such as the color and shape of mulberry leaves or the classification of silkworm cocoons, from input images [ 9 ].…”

“…An important application of AI is the prediction of silk supply and demand in the long term based on export and import reports recorded over the years [ 9 ]. A further work proposed the use of image analysis techniques for the morphological examination of silkworm eggs [ 10 ]. In detail, 60 sample images of seven shades of color groups of silkworm eggs were considered.…”

Artificial Intelligence-Assisted Terahertz Imaging for Rapid and Label-Free Identification of Efficient Light Formula in Laser Therapy

“…It has attracted great attention in biomedical applications as a promising radiological technology. It has been proposed to study a wide variety of diseases, including various cancers [ 22 , 23 , 24 , 25 , 26 , 27 ], skin burns [ 28 ], arthritis [ 29 ], traumatic brain injury [ 30 ], silkworm egg development stages [ 31 ], and changes in cell monolayers [ 32 ]. These findings suggest that THz imaging can quantify cellular and tissue events, as well as trace the progression and regression of disease to monitor therapeutic effect.…”