Optics & Laser Technology, Journal Year: 2024, Volume and Issue: 183, P. 112300 - 112300
Published: Dec. 16, 2024
Language: Английский
Optics & Laser Technology, Journal Year: 2024, Volume and Issue: 183, P. 112300 - 112300
Published: Dec. 16, 2024
Language: Английский
Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)
Published: Feb. 5, 2025
Abstract Supervised learning, a popular tool in modern science and technology, thrives on huge amounts of labeled data. Physics-enhanced deep neural networks offer an effective solution to alleviate the data burden by incorporating analytical model that interprets underlying physical processes. However, it completely fails tackling systems without solution, where wave scattering with multiple input output are typical examples. Herein, we propose concept empirical network (DENN) is hybridization model, which enables seeing through opaque medium untrained manner. The DENN does not rely data, all while delivering as high 58% improvement fidelity compared supervised learning using 30000 pairs for achieving same goal optical phase retrieval. might shed new light applications physics, information science, biology, chemistry beyond.
Language: Английский
Citations
1Optics and Lasers in Engineering, Journal Year: 2025, Volume and Issue: 186, P. 108824 - 108824
Published: Jan. 7, 2025
Language: Английский
Citations
0Micromachines, Journal Year: 2024, Volume and Issue: 15(4), P. 537 - 537
Published: April 17, 2024
Axial resolution is one of the most important characteristics a microscope. In all microscopes, high axial desired in order to discriminate information efficiently along longitudinal direction. However, when studying thick samples that do not contain laterally overlapping information, low desirable, as from multiple planes can be recorded simultaneously single camera shot instead plane-by-plane mechanical refocusing. this study, we increased focal depth an infrared microscope non-invasively by introducing binary axicon fabricated on barium fluoride substrate close sample. Preliminary results imaging and sparse silk fibers showed improved with slight decrease lateral increase background noise.
Language: Английский
Citations
2Published: March 8, 2024
Axial resolution is one of the most important characteristics a microscope. In all microscopes, high axial desired in order to discriminate information efficiently along longitudinal direction. However, when studying thick samples that do not contain laterally overlapping information, low desirable as from multiple planes can be recorded simultaneously single camera shot instead plane-by-plane mechanical refocusing. this study, we increased focal depth an infrared microscope non-invasively by introducing binary axicon fabricated on barium fluoride substrate close sample. Preliminary results imaging and sparse silk fibers showed improved with slight decrease lateral increase background noise.
Language: Английский
Citations
2Optics Express, Journal Year: 2024, Volume and Issue: 32(23), P. 41818 - 41818
Published: Oct. 17, 2024
The point spread function (PSF) of an optical system could characterize the resolving ability whole for light sources. Therefore, imaging performance be significantly improved by regulating and optimizing PSF. In this paper, we innovatively propose a single-exposure hologram resolution enhanced cross-correlation (RECC) method Interferenceless coded aperture holography(I-COACH) system, circumventing necessity to obtain (PSH) ideal object. RECC firstly acquires approximate image large-size object Lucy-Richardson (LR) algorithm in lens mode, takes it as PSF acquire PSH with size I-COACH LR again, finally reconstructed method. method, PSHs at different axial positions are acquired offline operation, therefore, has high temporal resolution, transverse is not affected objects time recording PSH, which provides signal-to-noise ratio stable resolution. proposed powerful technical support further extending application field reference other incoherent imaging.
Language: Английский
Citations
0Optics & Laser Technology, Journal Year: 2024, Volume and Issue: 183, P. 112300 - 112300
Published: Dec. 16, 2024
Language: Английский
Citations
0