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公开(公告)号：US10984888B2
公开(公告)日：2021-04-20
申请号：US14428312
申请日：2013-09-13
Applicant: LIFE TECHNOLOGIES CORPORATION
Inventor： Nivedita Sumi Majumdar , Thomas Wessel , David C. Woo , Marcin Sikora , Gordon A. Janaway , Shweta Raizada , Joanna Lankester , Jeffrey A. Marks , Daniel Wessel
Abstract: A computer-implemented method for designing a digital PCR (dPCR) experiment is provided. The method includes receiving, from a user, a selection of optimization type. The optimization type may be maximizing the dynamic range, minimizing the number of substrates including reaction sites needed for the experiment, determining a dilution factor, or determining the lower limit of detection, for example. The method further includes receiving, from the user, a precision measure for an experiment, and a minimum concentration of a target in a reaction site for the experiment. The method also includes determining a set of dPCR experiment design factors for the experiment based on the optimization type. The set of dPCR experiment design factors is then displayed to the user.
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公开(公告)号：US20150278437A1
公开(公告)日：2015-10-01
申请号：US14428312
申请日：2013-09-13
Applicant: LIFE TECHNOLOGIES CORPORATION
Inventor： Nivedita Sumi Majumdar , Thomas Wessel , David C. Woo , Marcin Sikora , Gordon A. Janaway , Shweta Raizada , Joanna Lankester , Jeffrey A. Marks , Daniel Wessel
Abstract: A computer-implemented method for designing a digital PCR (dPCR) experiment is provided. The method includes receiving, from a user, a selection of optimization type. The optimization type may be maximizing the dynamic range, minimizing the number of substrates including reaction sites needed for the experiment, determining a dilution factor, or determining the lower limit of detection, for example. The method further includes receiving, from the user, a precision measure for an experiment, and a minimum concentration of a target in a reaction site for the experiment. The method also includes determining a set of dPCR experiment design factors for the experiment based on the optimization type. The set of dPCR experiment design factors is then displayed to the user.
Abstract translation: 提供了一种用于设计数字PCR（dPCR）实验的计算机实现方法。 该方法包括从用户接收优化类型的选择。 优化类型可以使动态范围最大化，例如最小化包括实验所需的反应位点，确定稀释因子或确定检测下限的底物数量。 该方法还包括从用户接收实验的精确度量，以及用于实验的反应部位中靶的最小浓度。 该方法还包括基于优化类型确定实验的一组dPCR实验设计因子。 然后将该组dPCR实验设计因子显示给用户。
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公开(公告)号：US20210313010A1
公开(公告)日：2021-10-07
申请号：US17207488
申请日：2021-03-19
Applicant: LIFE TECHNOLOGIES CORPORATION
Inventor： Nivedita Sumi Majumdar , Thomas Wessel , David C. Woo , Marcin Sikora , Gordon A. Janaway , Shweta Raizada , Joanna Lankester , Jeffrey A. Marks , Daniel Wessel
Abstract: A computer-implemented method for designing a digital PCR (dPCR) experiment is provided. The method includes receiving, from a user, a selection of optimization type. The optimization type may be maximizing the dynamic range, minimizing the number of substrates including reaction sites needed for the experiment, determining a dilution factor, or determining the lower limit of detection, for example. The method further includes receiving, from the user, a precision measure for an experiment, and a minimum concentration of a target in a reaction site for the experiment. The method also includes determining a set of dPCR experiment design factors for the experiment based on the optimization type. The set of dPCR experiment design factors is then displayed to the user.
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