目的显微细胞成像系统获取的图像序列由于光照、电磁干扰等因素的影响,不可避免地存在一定程度的噪声,消除噪声得到清晰的细胞图像是后续细胞形态特征提取和分析的首要步骤。本文引入细胞图像序列的时域信息来构建时空曲率正则化约束,...目的显微细胞成像系统获取的图像序列由于光照、电磁干扰等因素的影响,不可避免地存在一定程度的噪声,消除噪声得到清晰的细胞图像是后续细胞形态特征提取和分析的首要步骤。本文引入细胞图像序列的时域信息来构建时空曲率正则化约束,以实现细胞图像序列的去噪处理。方法首先,利用细胞图像序列的空域和时域相关性,构建基于时空曲率正则化的图像序列去噪模型;然后,通过增广拉格朗日乘子法实现模型的优化求解;最后,分别通过对叠加有不同高斯白噪声水平的纤维母细胞和多能干细胞图像序列进行去噪实验,以验证去噪效果。结果与总变分去噪法、三维阈值剪切去噪法和空间曲率正则化去噪法相比较,基于时空曲率正则化的细胞图像序列去噪方法应用于2组细胞图像序列去噪的视觉效果,及峰值信噪比(peak signal to noise ratio,PSNR)和结构相似度(structural similarity,SSIM)都优于其他3种方法。结论与其他3种去噪方法相比,此方法更加充分利用了细胞图像序列的时域信息,去噪后能有效地维持图像对比度,振铃效应不明显,对高斯噪声具有更好的适应性和稳定性,可应用于细胞形态变化检测的前期处理阶段。展开更多
The relation between microtubules architecture in the cytoskeletal structure inside the dendrites and soma and the emergence of neuron function and firing action potential crosses the tiny line between physics and bio...The relation between microtubules architecture in the cytoskeletal structure inside the dendrites and soma and the emergence of neuron function and firing action potential crosses the tiny line between physics and biology. As decoherence is a fundamental mechanism in some biological process such as photosynthesis and others examples, the gravitational quantum approach may contribute to elucidate if neuron function really emerges from quantum coherence in neuronal microtubules. The Einstein equation correlates the stress-energy tensor Tμv to a specific divergence-free combination Ricci tensor Rμv and the metric. In the semiclassical formulation, we have Gμv = Rμv -1/2gμvR=8πG/C^4〈ψ｜μvψ〉 which describes the quantum field in curved space-time geometry. But for a more precise equation in relation to the stress-energy tensor, we know that in a non-zero temperature, the wave-function is not enough to describe the physical reality. A more precise equation demands a formulation in the density-matrix form but for now there is no Diosi-Penrose model with density-matrix formulation. Such a density-matrix description can be viewed as a probability mixture of different wave-functions. Using some algebra and rules related to the mathematical manipulation of the density-matrix applied to operators, such the stress energy tensor, we found the von Neumann-Einstein equation for the general relativity equation in the density matrix operator form, Gμv = 8πG/C^4Tr[pTμv]. Thus density-matrix operator--instead of just a wave function of pure states--applied to the stress-energy tensor gives the curvature of space time, given by Einstein tensor, Gμv. The quantum fluctuation in the gravitational space-time field might feed back to decohere the quantum density-matrix. As long as decoherence can be viewed as the loss of information from a system to the environment, the density-matrix p is also related to that process and considering the measurement problem, density-matrix /garter is a more complete description of the possible outcome of the measurement. It is possible that some characteristics of the special microtubulin-associated proteins （MAP） that capes the dendritic-somatic microtubulins which could induces longer-lived nuclear spin states prevented from de-polymerization and suitable for long term information encode and memory. Understand the mechanism by which the hyper-phosphorylation in type tau-MAP displacements from microtubulins results in neurofibrillary tangles and cognitive dysfunctions in Alzheimer＇s disease.展开更多
文摘目的显微细胞成像系统获取的图像序列由于光照、电磁干扰等因素的影响,不可避免地存在一定程度的噪声,消除噪声得到清晰的细胞图像是后续细胞形态特征提取和分析的首要步骤。本文引入细胞图像序列的时域信息来构建时空曲率正则化约束,以实现细胞图像序列的去噪处理。方法首先,利用细胞图像序列的空域和时域相关性,构建基于时空曲率正则化的图像序列去噪模型;然后,通过增广拉格朗日乘子法实现模型的优化求解;最后,分别通过对叠加有不同高斯白噪声水平的纤维母细胞和多能干细胞图像序列进行去噪实验,以验证去噪效果。结果与总变分去噪法、三维阈值剪切去噪法和空间曲率正则化去噪法相比较,基于时空曲率正则化的细胞图像序列去噪方法应用于2组细胞图像序列去噪的视觉效果,及峰值信噪比(peak signal to noise ratio,PSNR)和结构相似度(structural similarity,SSIM)都优于其他3种方法。结论与其他3种去噪方法相比,此方法更加充分利用了细胞图像序列的时域信息,去噪后能有效地维持图像对比度,振铃效应不明显,对高斯噪声具有更好的适应性和稳定性,可应用于细胞形态变化检测的前期处理阶段。
文摘The relation between microtubules architecture in the cytoskeletal structure inside the dendrites and soma and the emergence of neuron function and firing action potential crosses the tiny line between physics and biology. As decoherence is a fundamental mechanism in some biological process such as photosynthesis and others examples, the gravitational quantum approach may contribute to elucidate if neuron function really emerges from quantum coherence in neuronal microtubules. The Einstein equation correlates the stress-energy tensor Tμv to a specific divergence-free combination Ricci tensor Rμv and the metric. In the semiclassical formulation, we have Gμv = Rμv -1/2gμvR=8πG/C^4〈ψ｜μvψ〉 which describes the quantum field in curved space-time geometry. But for a more precise equation in relation to the stress-energy tensor, we know that in a non-zero temperature, the wave-function is not enough to describe the physical reality. A more precise equation demands a formulation in the density-matrix form but for now there is no Diosi-Penrose model with density-matrix formulation. Such a density-matrix description can be viewed as a probability mixture of different wave-functions. Using some algebra and rules related to the mathematical manipulation of the density-matrix applied to operators, such the stress energy tensor, we found the von Neumann-Einstein equation for the general relativity equation in the density matrix operator form, Gμv = 8πG/C^4Tr[pTμv]. Thus density-matrix operator--instead of just a wave function of pure states--applied to the stress-energy tensor gives the curvature of space time, given by Einstein tensor, Gμv. The quantum fluctuation in the gravitational space-time field might feed back to decohere the quantum density-matrix. As long as decoherence can be viewed as the loss of information from a system to the environment, the density-matrix p is also related to that process and considering the measurement problem, density-matrix /garter is a more complete description of the possible outcome of the measurement. It is possible that some characteristics of the special microtubulin-associated proteins （MAP） that capes the dendritic-somatic microtubulins which could induces longer-lived nuclear spin states prevented from de-polymerization and suitable for long term information encode and memory. Understand the mechanism by which the hyper-phosphorylation in type tau-MAP displacements from microtubulins results in neurofibrillary tangles and cognitive dysfunctions in Alzheimer＇s disease.
