现代生物学和生物医学领域迫切需要研制兼顾大视场、高分辨率的显微成像技术和仪器以对生物样品实现跨尺度观测,满足重大科学问题的研究需求。受限于系统的空间带宽积,传统商业显微镜无法满足这一需求,且现有高空间带宽积显微成像系统...现代生物学和生物医学领域迫切需要研制兼顾大视场、高分辨率的显微成像技术和仪器以对生物样品实现跨尺度观测,满足重大科学问题的研究需求。受限于系统的空间带宽积,传统商业显微镜无法满足这一需求,且现有高空间带宽积显微成像系统存在体积庞大、实施成本高昂等问题。本文基于HiLo光切片技术和自主设计的大视场高分辨显微物镜,研发了具有高空间带宽积特点的大视场高分辨HiLo光切片显微成像系统,测试了系统的成像视场和分辨率。应用该系统对小鼠脑切片开展了白光照明明场成像实验,并与OLYMPUS商业显微镜成像结果做了对比;对小麦种子荧光切片开展了光切片成像和宽场荧光成像对比实验。实验结果表明,大视场高分辨HiLo光切片显微成像系统的成像视场达到4.8 mm×3.6 mm (对角视场为6.0 mm),横向分辨率达到0.74μm,轴向分辨率达到4.16μm。大视场高分辨HiLo光切片显微成像系统兼有大视场和高分辨率成像的优势和快速光切片成像的能力,能够对大体积生物样本开展快速三维成像,将为胚胎发育、脑成像、数字病理诊断等研究提供有力的技术支撑。展开更多
The Khatri-Rao(KR) subspace method is a high resolution method for direction-of-arrival(DOA) estimation.Combined with 2q level nested array,the KR subspace method can detect O(N2q) sources with N sensors.However,the m...The Khatri-Rao(KR) subspace method is a high resolution method for direction-of-arrival(DOA) estimation.Combined with 2q level nested array,the KR subspace method can detect O(N2q) sources with N sensors.However,the method cannot be applicable to Gaussian sources when q is equal to or greater than 2 since it needs to use 2q-th order cumulants.In this work,a novel approach is presented to conduct DOA estimation by constructing a fourth order difference co-array.Unlike the existing DOA estimation method based on the KR product and 2q level nested array,the proposed method only uses second order statistics,so it can be employed to Gaussian sources as well as non-Gaussian sources.By exploiting a four-level nested array with N elements,our method can also identify O(N4) sources.In order to estimate the wideband signals,the proposed method is extended to the wideband scenarios.Simulation results demonstrate that,compared to the state of the art KR subspace based methods,the new method achieves higher resolution.展开更多
文摘现代生物学和生物医学领域迫切需要研制兼顾大视场、高分辨率的显微成像技术和仪器以对生物样品实现跨尺度观测,满足重大科学问题的研究需求。受限于系统的空间带宽积,传统商业显微镜无法满足这一需求,且现有高空间带宽积显微成像系统存在体积庞大、实施成本高昂等问题。本文基于HiLo光切片技术和自主设计的大视场高分辨显微物镜,研发了具有高空间带宽积特点的大视场高分辨HiLo光切片显微成像系统,测试了系统的成像视场和分辨率。应用该系统对小鼠脑切片开展了白光照明明场成像实验,并与OLYMPUS商业显微镜成像结果做了对比;对小麦种子荧光切片开展了光切片成像和宽场荧光成像对比实验。实验结果表明,大视场高分辨HiLo光切片显微成像系统的成像视场达到4.8 mm×3.6 mm (对角视场为6.0 mm),横向分辨率达到0.74μm,轴向分辨率达到4.16μm。大视场高分辨HiLo光切片显微成像系统兼有大视场和高分辨率成像的优势和快速光切片成像的能力,能够对大体积生物样本开展快速三维成像,将为胚胎发育、脑成像、数字病理诊断等研究提供有力的技术支撑。
基金Project(2010ZX03006-004) supported by the National Science and Technology Major Program of ChinaProject(YYYJ-1113) supported by the Knowledge Innovation Program of the Chinese Academy of SciencesProject(2011CB302901) supported by the National Basic Research Program of China
文摘The Khatri-Rao(KR) subspace method is a high resolution method for direction-of-arrival(DOA) estimation.Combined with 2q level nested array,the KR subspace method can detect O(N2q) sources with N sensors.However,the method cannot be applicable to Gaussian sources when q is equal to or greater than 2 since it needs to use 2q-th order cumulants.In this work,a novel approach is presented to conduct DOA estimation by constructing a fourth order difference co-array.Unlike the existing DOA estimation method based on the KR product and 2q level nested array,the proposed method only uses second order statistics,so it can be employed to Gaussian sources as well as non-Gaussian sources.By exploiting a four-level nested array with N elements,our method can also identify O(N4) sources.In order to estimate the wideband signals,the proposed method is extended to the wideband scenarios.Simulation results demonstrate that,compared to the state of the art KR subspace based methods,the new method achieves higher resolution.
