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Chromatic optical coherence tomography for high-resolution deep tissue imaging
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作者 SEUNG EON LEE HYEONG SOO NAM +5 位作者 RYEONG HYEON KIM HYUN JUNG KIM JAE YEON SEOK JIN WON KIM YOUNG-JIN KIM HONGKI YOO 《Photonics Research》 2025年第10期2888-2902,共15页
Achieving clear and deep tissue imaging with optical coherence tomography(OCT)necessitates the simultaneous optimization of three critical factors:high resolution,extended depth of focus(DOF),and high signal-tonoise r... Achieving clear and deep tissue imaging with optical coherence tomography(OCT)necessitates the simultaneous optimization of three critical factors:high resolution,extended depth of focus(DOF),and high signal-tonoise ratio(SNR).Conventional OCT systems often compromise one or more of these factors,due to inherent trade-offs in optical design and noise management.To address these limitations,we present a chromatic OCT system that simultaneously optimizes all three parameters.The system achieves an isotropic spatial resolution of 2 to 3μm by leveraging a broad bandwidth light source and high-numerical-aperture optics with a pronounced chromatic focal shift,which enables up to a sevenfold DOF extension.Additionally,a novel noise-gating algorithm suppresses system-inherent noise,sidelobe artifacts,and multiple scattering effects,significantly enhancing the SNR.Comparative simulations and experiments demonstrate that the proposed chromatic OCT outperforms conventional high-resolution systems by maintaining superior resolution and SNR over an extended imaging range.These advancements establish chromatic OCT as a powerful tool for high-resolution,deep tissue imaging in biomedical applications,offering improved diagnostic capabilities. 展开更多
关键词 high resolution imaging isotropic spa noise gating algorithm optical coherence tomography oct necessitates deep tissue imaging extended depth focus chromatic oct system chromatic optical coherence tomography
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Legal Benefit Restoration and Functional Illegality Theory
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作者 Du Yu Shao Ya'nan 《Social Sciences in China》 2025年第1期98-113,共16页
How should legal benefit restoration be positioned within the criminal law system?This question reveals a rare opportunity for theoretical innovation:embedding legal benefit restoration into the evaluation of illegali... How should legal benefit restoration be positioned within the criminal law system?This question reveals a rare opportunity for theoretical innovation:embedding legal benefit restoration into the evaluation of illegality,and thereby driving a functional shift in illegality theory.In constructing a functional illegality theory,two layers of illegality are involved:meriting punishment and necessitating punishment.The former is anchored in the legitimacy of declaring an act illegal;the latter focuses on the immediate necessity of such a declaration.The two layers exhibit clear differences in the content of assessment,sequence of verification,and evaluative direction,creating a collaborative relationship of mutual supplementation and restriction.The functional illegality theory not only systematically incorporates functional thinking but also clearly demarcates different dimensions of functional evaluation,harmonizing them with the hierarchical structure of criminal theory. 展开更多
关键词 legal benefit restoration functional illegality theory functional responsibility theory meriting punishment necessitating punishment
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Spatial–spectral sparse deep learning combined with a freeform lens enables extreme depth-of-field hyperspectral imaging
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作者 YITONG PAN ZHENQI NIU +5 位作者 SONGLIN WAN XIAOLIN LI ZHEN CAO YUYING LU JIANDA SHAO CHAOYANG WEI 《Photonics Research》 2025年第4期827-836,共10页
Traditional hyperspectral imaging(HI)systems are constrained by a limited depth of field(DoF),necessitating refocusing for any out-of-focus objects.This requirement not only slows down the imaging speed but also compl... Traditional hyperspectral imaging(HI)systems are constrained by a limited depth of field(DoF),necessitating refocusing for any out-of-focus objects.This requirement not only slows down the imaging speed but also complicates the system architecture.It is challenging to trade off among speed,resolution,and DoF within an ultrasimple system.While some studies have reported advancements in extending DoF,the improvements remain insufficient.To address this challenge,we propose a novel,to our knowledge,differentiable framework that integrates an extended DoF(E-DoF)wave propagation model and an achromatic hyperspectral reconstructor powered by deep learning.Through rigorous experimental validation,we have demonstrated that the compact HI system is capable of snapshot capturing of high-fidelity images with an exceptional DoF reaching approximately 5 m,marking a significant improvement of over three orders of magnitude.Additionally,the system achieves over 90%spectral accuracy without aberration,nearly doubling the accuracy performance of existing methods.An asymmetric freeform surface design is introduced for diffractive optical elements,enabling dual functionality with design freedom and E-DoF.The sparse prior conditions for spatial texture and spectral features of hyperspectral cubic data are integrated into the reconstruction network,effectively mitigating texture blurring and chromatic aberration.It foresees that the optimal strategy for achromatic E-DoF can be adopted into other optical systems such as polarization imaging and depth measurement. 展开更多
关键词 wave propagation model achromatic hyperspectral reconstructor ultrasimple systemwhile freeform lens extreme depth field hyperspectral imaging depth field dof necessitating differentiable framework spatial spectral sparse deep learning
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