Material sample, display method, and estimation method
A technique for displaying methods, samples, applied in the field of quantitative determination of materials stored in containers
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
example 1
[0055] Table 1 shows an example of the actual concentration profile of reference material sample 1, which corresponds to Figure 2A the real value in . In the following, using the reference material sample 1 in Table 1, it will be based on the reference image 3 The product specifications calculated by the described procedure are compared with those calculated using conventional methods.
[0056] [Table 1]
[0057] portion / hole probability 8 0.43％ 9 36.64％ 10 35.57％ 11 18.31％ 12 6.62％ 13 1.88％ 14 0.44％ 15 0.09％ 16 0.02％
[0058] Table 2 shows the results of product specifications calculated by each method. The representative value for the normal distribution method is the mean. For percentile method B, a Poisson distribution with a mean of 10 was used as the concentration distribution. Therefore, the mean value (=10) of the Poisson distribution was selected as a representative value. For this example and percen...
example 2
[0064] Table 3 shows another example of the actual concentration distribution of the reference material sample 1. In the following, using the reference material sample 1 in Table 3, it will be based on the reference image 3 The product specifications calculated by the described procedure are compared with those calculated using conventional methods.
[0065] [table 3]
[0066] portion / hole probability 4 0.29％ 5 41.44％ 6 35.86％ 7 15.98％ 8 4.96％ 9 1.19％ 10 0.23％ 11 0.04％ 12 0.01％
[0067] Table 4 shows the results of product specifications calculated by each method. The representative value for the normal distribution method is the mean. For percentile method B, a Poisson distribution with a mean of 6 was used as the concentration distribution. Therefore, the mean value (=6) of the Poisson distribution was selected as the representative value. For each of this example and percentile method A, the probability of m...
example 3
[0072]Table 5 shows the results obtained by using each method to calculate the product specification of reference material sample 1, which had been created by the limiting dilution method. Unlike Tables 1-4, Reference Material Sample 1 was created by the limiting dilution method. Therefore, the concentration distribution follows a Poisson distribution. In Table 5, an example in which a single container 11 stores 1 to 10000 DNA molecules on average is used. Since this concentration distribution follows a Poisson distribution, there is no difference between percentile methods A and B. Therefore, these methods are collectively referred to as "percentage point methods" in Table 5.
[0073] [table 5]
[0074]
[0075] As a result, each method was found to achieve the target probability α. For each number of molecules, the interval width of this embodiment is the smallest. Therefore, it was found that this embodiment can also be used advantageously when the concentration dis...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More