会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 22. 发明授权
    • Electrophoresis and fluorescence detection method
    • 电泳和荧光检测方法
    • US5786142A
    • 1998-07-28
    • US452719
    • 1995-05-30
    • John A. RenfrewJames W. Cassidy
    • John A. RenfrewJames W. Cassidy
    • G01N27/447G01N30/86C12Q1/68B01D61/42C25B1/00G01N15/06
    • G01N27/44721G01N30/8603
    • An improved electrophoresis and fluorescence detection method for nucleotide sequences comprises a fluorescence sensing region along the path of nucleotide detection, coupled with amplification and integration in an integrator of output signals in the form of activity peaks. The output signal, which is converted to a voltage signal, is summed with a programmable offset generated by an inexpensive eight-bit D/A converter. The offset signal is selected to establish a lower starting point for the dynamic range of analog-digital conversion, and is selected to null some or all of the background fluorescence level. The integrator is switchable under program control. The integrator is switched on for long and short integration intervals. The short intervals permit sensing over a dynamic range accommodating very high levels of fluorescence; very high peaks may be measured and features of the peaks distinguished. The long intervals permit sensing over a dynamic range that is optimized for the peaks associated with the smaller peaks of individual nucleotides. In this way, the dynamic range of the analog-digital conversion permits the highest possible resolution over the range of interest during the time in which the sequencing of the nucleotides takes place. The method of nucleotide sequencing and analysis is fast, economical, and yields data with high resolution.
    • 用于核苷酸序列的改进的电泳和荧光检测方法包括沿着核苷酸检测途径的荧光感测区域,以及在活性峰形式的输出信号的积分器中的放大和积分。 转换为电压信号的输出信号与由廉价的八位D / A转换器产生的可编程偏移相加。 选择偏移信号以建立模拟数字转换的动态范围的较低起始点,并选择为零部分或全部背景荧光水平。 集成商可在程序控制下切换。 积分器接通长和短的积分间隔。 短时间间隔允许在适应非常高水平荧光的动态范围内进行感测; 可以测量非常高的峰,并区分峰的特征。 长间隔允许感测针对与各个核苷酸的较小峰相关联的峰优化的动态范围。 以这种方式,模拟数字转换的动态范围允许在发生核苷酸测序的时间内在感兴趣的范围内达到最高可能的分辨率。 核苷酸测序和分析的方法快速,经济,并且产生高分辨率的数据。
    • 30. 发明申请
    • Method and System for Detecting Peptide Peaks in HPLC-MS Signals
    • HPLC-MS信号中检测肽峰的方法和系统
    • US20100161238A1
    • 2010-06-24
    • US12602319
    • 2008-05-30
    • Salvatore CappadonaLinda PattiniSergio CeruttiPeter JamesFredrik Levander
    • Salvatore CappadonaLinda PattiniSergio CeruttiPeter JamesFredrik Levander
    • G01N30/86H01J49/26G06F19/00
    • G01N30/8675G01N30/8603G01N30/8617G01N30/8641
    • The present invention relates to a method, a computer tool and a system for detecting peptide peaks in measurement signals (11) generated by HPLC-MS instruments. The method comprises the steps of: providing an intensity column vector (SIC) representative of the elution values at a specific mass value (m/z) of the measurement signal (11); cam. performing a wavelet decomposition (15) of such values of said intensity column vector (SIC) to generate a first processed vector (16) representative of the smoothed intensity values of the intensity column vector (SIC); providing a threshold value (S) and performing a wavelet decomposition (17) as a function of the value of said threshold (S) to generate the second processed vector (18) representative of said intensity column vector (SIC) cleaned of any oscillations generated by stochastic noise (e(t)); processing said first processed vector (16) and said second processed vector (18) to generate a third processed vector (19) identifying the baseline values of said intensity column vector (SIC); processing said intensity column vector (SIC) and said second (18) and third (19) vectors to generate e filtered vector (20) identifying any peak value (ZJ) below the background noise (12).
    • 本发明涉及一种用于检测由HPLC-MS仪器产生的测量信号(11)中的肽峰的方法,计算机工具和系统。 该方法包括以下步骤:提供代表测量信号(11)的特定质量值(m / z)的洗脱值的强度列向量(SIC); 凸轮 执行所述强度列向量(SIC)的这些值的小波分解(15)以产生表示强度列向量(SIC)的平滑强度值的第一处理向量(16); 提供阈值(S)并且作为所述阈值(S)的值的函数执行小波分解(17),以生成代表产生的任何振荡的所述强度列向量(SIC)的第二处理向量(18) 通过随机噪声(e(t)); 处理所述第一处理向量(16)和所述第二处理向量(18)以产生识别所述强度列向量(SIC)的基线值的第三处理向量(19); 处理所述强度列向量(SIC)和所述第二(18)和第三(19)向量,以产生识别低于背景噪声(12)的任何峰值(ZJ)的滤波向量(20)。