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    SYSTEMS AND METHODS FOR BASELINING AND REAL-TIME PCR DATA ANALYSIS
    1.
    发明申请
    SYSTEMS AND METHODS FOR BASELINING AND REAL-TIME PCR DATA ANALYSIS 审中-公开
    用于基线和实时PCR数据分析的系统和方法

    公开(公告)号：US20080154512A1

    公开(公告)日：2008-06-26

    申请号：US11923633

    申请日：2007-10-24

    申请人： Harrison Leong

    发明人： Harrison Leong

    IPC分类号： C12Q1/68 ,  G01N33/48 ,  G06F19/00

    CPC分类号： G06K9/0053 ,  C12Q1/6851 ,  C12Q2537/165

    摘要： Systems and methods according to embodiments of the present teachings incorporate a set of possible signal transforms that can be used to examine the baseline region of an amplification profile for noise. In embodiments, a difference time series analysis can be performed to determine deviations of detected fluorescent or other signal intensity in the early cycles of a PCR or other reaction over a median difference time series magnitude. In embodiments, difference time series analysis or other detection techniques can be performed over different hop sizes producing a multi-resolution analysis. In embodiments, the amplification profile can be transmitted to a set of noise detectors whose individual results or decisions are polled or weighted to determine the presence of noise in the baseline or other region. In embodiments, a second derivative analysis on the baseline region can be performed.

    摘要翻译： 根据本教导实施例的系统和方法包括可用于检查用于噪声的放大曲线的基线区域的一组可能的信号变换。 在实施例中，可以执行差分时间序列分析以确定在PCR或其他反应的早期循环中的检测到的荧光或其他信号强度在中值差异时间序列幅度上的偏差。 在实施例中，差分时间序列分析或其他检测技术可以在产生多分辨率分析的不同跳数上执行。 在实施例中，放大曲线可以被发送到一组噪声检测器，其单独的结果或决策被轮询或加权以确定基线或其他区域中的噪声的存在。 在实施例中，可以执行对基线区域的二进制分析。

    SYSTEMS AND METHODS FOR ASSIGNING ATTRIBUTES TO A PLURALITY OF SAMPLES
    2.
    发明申请
    SYSTEMS AND METHODS FOR ASSIGNING ATTRIBUTES TO A PLURALITY OF SAMPLES 审中-公开
    将属性分配给多个样本的系统和方法

    公开(公告)号：US20120030618A1

    公开(公告)日：2012-02-02

    申请号：US13179191

    申请日：2011-07-08

    申请人： Harrison Leong ,  Ruoyun Wu ,  Thiam Chye Lee

    发明人： Harrison Leong ,  Ruoyun Wu ,  Thiam Chye Lee

    IPC分类号： G06F3/048

    CPC分类号： B01L7/52 ,  B01L3/5085 ,  B01L3/50851 ,  B01L9/56 ,  B01L2300/023 ,  B01L2300/024 ,  B01L2300/025 ,  B01L2300/027 ,  B01L2300/046 ,  B01L2300/0654 ,  B01L2300/0822 ,  B01L2300/0829 ,  G01N2035/00891

    摘要： Systems and methods for assigning attributes to a plurality of samples are provided. An exemplary system includes an instrument configured to perform an experiment on a plurality of samples in a multi-sample support device and to produce a plurality of measured values. The system further includes a computer system in communication with the instrument. The computer system is configured to receive the plurality of measured values from the instrument, store the plurality of measured values in a memory configured as a grid of cells representing the grid of the multi-sample support device, display the grid of cells in a graphical user interface, receive a selected cell from the graphical user interface, receive two or more attribute values for the selected cell from the graphical user interface, and store the two or more assigned attribute values along with a measured value of the selected cell in the memory configured as a grid of cells.

    摘要翻译： 提供了将属性分配给多个样本的系统和方法。 示例性系统包括被配置为对多样本支持装置中的多个样本执行实验并产生多个测量值的仪器。 该系统还包括与仪器通信的计算机系统。 计算机系统被配置为从仪器接收多个测量值，将多个测量值存储在被配置为表示多样本支持设备的网格的单元格网格的存储器中，在图形中显示单元格格 用户接口，从图形用户界面接收所选择的单元，从图形用户界面接收所选单元的两个或多个属性值，并将所分配的两个或更多个属性值与所选单元格的测量值一起存储在存储器中 配置为单元格网格。

    Neurocognitive adaptive computer-aided training method and system
    3.
    发明授权
    Neurocognitive adaptive computer-aided training method and system 失效
    神经认知自适应计算机辅助训练方法及系统

    公开(公告)号：US5724987A

    公开(公告)日：1998-03-10

    申请号：US504653

    申请日：1995-07-20

    申请人： Alan Gevins ,  Harrison Leong ,  Isabel Sam-Vargas ,  Michael Smith

    发明人： Alan Gevins ,  Harrison Leong ,  Isabel Sam-Vargas ,  Michael Smith

    IPC分类号： A61B5/0484 ,  A61B5/16 ,  A61B5/0476

    CPC分类号： A61B5/16 ,  A61B5/0484 ,  A61B5/7264

    摘要： A computer-aided training system uses electroencephalograms (EEGs) recorded from the trainee's scalp to alter the training protocol being presented by the computer, for example to present a new task to the trainee when he or she has mastered and automatized the current task. The index of the trainee's skill mastery and automatization is determined by analysis of the EEG using mathematical classification functions which distinguish different levels of skill acquisition. The functions are computed by computer neural networks and consist of a combination of EEG and other physiological variables which specifically characterize a trainee's level of focused attention and neurocognitive workload and his or her neurocognitive strategy. The functions are derived either for a group of trainees, or each trainee individually, performing a battery of one or more standard training tasks while wearing an EEG hat.

    摘要翻译： 计算机辅助训练系统使用从受训者的头皮记录的脑电图（EEG）来改变计算机呈现的训练协议，例如当他或她已经掌握和自动化当前任务时，向受训者呈现新的任务。 受训者的技能掌握和自动化的指标是通过使用区分不同技能获取水平的数学分类函数对脑电图进行分析来确定的。 这些功能由计算机神经网络计算，并由EEG和其他生理变量的组合组成，它们特别表征受训者的集中注意力和神经认知工作量以及他或她的神经认知策略。 这些功能是针对一组学员或每个学员单独导出的，在佩戴EEG帽子的同时执行一个或多个标准训练任务的电池。

    Systems and Methods for the Analysis of Proximity Binding Assay Data
    4.
    发明申请
    Systems and Methods for the Analysis of Proximity Binding Assay Data 审中-公开
    近似结合分析数据分析系统与方法

    公开(公告)号：US20130304390A1

    公开(公告)日：2013-11-14

    申请号：US13885995

    申请日：2011-11-16

    申请人： Harrison Leong ,  Nivedita Sumi Majumdar ,  Elana E. Swartzman

    发明人： Harrison Leong ,  Nivedita Sumi Majumdar ,  Elana E. Swartzman

    IPC分类号： G06F19/18

    CPC分类号： G16B20/00 ,  G16B40/00

    摘要： A proximity binding assay (PBA) is performed on at least one test sample, at least one reference sample, a background sample, and one or more calibration samples using a thermal cycler instrument. Ct values are determined for at least one set of test sample data and at least one set of reference sample data. Background corrected Ct values are calculated using a corresponding value in a background sample data set. A linear range is determined for the background corrected Ct values as a function of sample quantity. A linear regression line is calculated for each linear range. One or more parameter values of an exponential model (EM) fold change formula are estimated from the one or more sets of calibration sample data. A target protein quantity and associated confidence interval are calculated using the linear regression lines and the EM fold change formula.

    摘要翻译： 使用热循环仪在至少一个测试样品，至少一个参考样品，背景样品和一个或多个校准样品上进行接近结合测定（PBA）。 对于至少一组测试样本数据和至少一组参考样本数据确定Ct值。 使用背景样本数据集中的对应值计算背景校正的Ct值。 确定背景校正的Ct值作为样品量的函数的线性范围。 对于每个线性范围计算线性回归线。 从一个或多个校准样本数据组估计指数模型（EM）倍数变化公式的一个或多个参数值。 使用线性回归线和EM倍数变化公式计算靶蛋白质量和相关置信区间。

    Systems and Methods for the Analysis of Protein Melt Curve Data
    5.
    发明申请
    Systems and Methods for the Analysis of Protein Melt Curve Data 审中-公开
    蛋白质熔解曲线数据分析系统与方法

    公开(公告)号：US20120194522A1

    公开(公告)日：2012-08-02

    申请号：US13364276

    申请日：2012-02-01

    申请人： Nivedita Sumi Majumdar ,  Harrison Leong ,  Ruoyun Wu

    发明人： Nivedita Sumi Majumdar ,  Harrison Leong ,  Ruoyun Wu

    IPC分类号： G06T11/20

    CPC分类号： G06T11/206 ,  G16B45/00

    摘要： The present teachings relate to embodiments of systems and methods for the analysis of melt curve data for a plurality of samples. According to various embodiments, a melting temperature (Tm) may be determined across a range of different types of protein melt curve data, having variability over a plurality of analytical attributes in order to accommodate the complexity of protein melt curve data. The combination of a plurality of samples, coupled with the complexity of the data gives rise for a need to process the data in a manner that readily facilitates end-user to analysis of the data. Various embodiments of an interactive graphical user interface (GUI) according to the present teachings provide for rapid and sequential changes that may be made by an end user to displayed protein melt curve data to allow such analysis.

    摘要翻译： 本教导涉及用于分析多个样品的熔体曲线数据的系统和方法的实施例。 根据各种实施方案，可以在不同类型的蛋白质熔融曲线数据的范围内确定熔解温度（Tm），其具有多个分析属性的变异性，以适应蛋白质熔融曲线数据的复杂性。 多个样本的组合以及数据的复杂性导致需要以容易促进最终用户分析数据的方式处理数据。 根据本发明的交互式图形用户界面（GUI）的各种实施例提供了可以由终端用户进行快速和顺序改变以显示蛋白质熔解曲线数据以允许这种分析。

    Adaptive interference canceler for EEG movement and eye artifacts
    6.
    发明授权
    Adaptive interference canceler for EEG movement and eye artifacts 失效
    自适应干扰消除器用于EEG运动和眼睛伪影

    公开(公告)号：US5513649A

    公开(公告)日：1996-05-07

    申请号：US216256

    申请日：1994-03-22

    申请人： Alan S. Gevins ,  Weixiu Du ,  Harrison Leong

    发明人： Alan S. Gevins ,  Weixiu Du ,  Harrison Leong

    IPC分类号： A61B5/0476 ,  A61B5/0496 ,  G06F17/00

    CPC分类号： A61B5/0496 ,  A61B5/0476

    摘要： In an EEG (electroencephalogram) system to detect brain waves from a subject, the adverse effect on the EEG recording of artifact due to head, body and eye movements is reduced. A head and body movement reference signal can be provided by an accelerometer, motion detector or, alternatively, spatial average of EEG channels. Eye motion sensors are used as a reference for eye movement artifacts. A composite reference signal consists of the head, body and eye movement reference signals. The contaminated EEG is the primary input to the adaptive movement and eye artifact canceler, in which an adaptive filter estimates the contaminants in the measured EEG data, and then subtracts them from the primary signal to obtain the corrected EEG data.

    摘要翻译： 在用于检测受试者的脑波的脑电图（脑电图）系统中，由于头部，身体和眼睛运动引起的人为因素对脑电图记录的不利影响减小。 头部和身体运动参考信号可以由加速度计，运动检测器或者EEG通道的空间平均来提供。 眼动运动传感器用作眼睛运动伪影的参考。 复合参考信号由头部，身体和眼睛运动参考信号组成。 受污染的EEG是自适应运动和眼神经消除器的主要输入，其中自适应滤波器估计测量的EEG数据中的污染物，然后从主信号中减去它们以获得校正的EEG数据。