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Following the above procedures, we present some results from recent antigenic characterization experiments. The titration setup was designed to examine eight input viruses, with double duplicates for each dilution. The viral dilutions were tested between 1.0 x 10-1 and 1.0 x 1.0-6 to cover the variations between the viruses. The test viruses were from the H3N2 subtype, including A/Cameroon/15V-3538/2015, A/Vladivostok/36/2015, A/Moscow/103/2015, A/Tomsk/5/2015/, A/Moscow/101/2015, A/Moscow/100/2015, A/Moscow/133/2015, and A/Bratislava/437/2015. The titration results are illustrated in Figure 5. Figure 5d demonstrates the decrease of ICPs with the increase of virus dilution. The curves were normalized against the ICPs of the same viruses that yielded infections in all cells within a well12 (defined as ICP saturation). If the ICP did not reach saturation with the highest virus concentration, the ICP average from corresponding duplicates was used instead (A/Moscow/103/2015 in Figure 5d). The virus dilutions that produced 30% of ICP saturation were chosen as the input virus dilution for neutralization (Table 3).
Neutralization aimed to have one input virus against five antisera, with double duplicates on each plate. The reference virus shown is H3N2 A/Stockholm/63/2015. The five antisera are A/HK 4801/14 Egg F12/15, A/HK 7295/14 MDCK F02/15, A/South Africa R2665/15 SIAT F50/15, A/Swiss 9715923/13 SIAT NIBF F18/15, and A/Dutch 525/14 SIAT f23/15. The neutralization results are illustrated in Figure 6. Figure 6d shows the infection progress with the increase of serum dilution. The normalized positive population on the vertical axis represents the ratio of ICPs from the corresponding antisera response against the average ICP of the reference virus12. The background ICP from uninfected cell controls was subtracted during the normalization. The neutralization titers were determined as the reciprocals of the antiserum dilutions corresponding to 50% ICP reduction (Table 4). Linear interpolation was used to estimate titers falling between two adjacent serum dilutions.

Figure 1: Example of a well-plate setup in a virus titration experiment. Test viruses are assigned to separate rows (A to H). Columns are designed for different viral dilutions (1 to 12). Two columns were used as duplicates for each viral dilution. Scale bar = 10 mm. Please click here to view a larger version of this figure.

Figure 2: Schematics of a sample scanning system. (a) A 96-well plate on the imaging position of a flatbed scanner (republished from reference11 with permission from Elsevier B.V.), and (b) dimensions of the L-shape position limit shown in (a). Please click here to view a larger version of this figure.

Figure 3: Desktop diagram of the "Wellplate Reader" quantitation software. Please click here to view a larger version of this figure.

Figure 4: Example of a well-plate setup in a neutralization experiment. Each antiserum is assigned to two columns with duplicates (1 to 10). Rows are designed for different serum dilutions (A to H). The virus control takes Column 11, with eight duplicates (A11 to H11). The cell control is in Column 12, with eight duplicates (A12 to H12). Scale bar = 10 mm. Please click here to view a larger version of this figure.

Figure 5: Results of a titration experiment. (a) The well-plate setup, (b) scanned well-plate image, (c) illustration of the color-encoded, quantitated, virus-infected cell population, and (d) normalized virus-infected cell populations against virus dilutions. 30% ICP was used as the threshold. The error bars in (d) are standard deviations (SD) from the sample duplications (± 1 SD). Scale bars in (b) and (c) = 10 mm. Please click here to view a larger version of this figure.

Figure 6: Results of a neutralization experiment. (a) The well-plate setup, (b) scanned well-plate image, (c) illustration of the quantitated, virus-infected cell population, and (d) normalized virus-infected cell population against the serum dilution. The input virus (VC) is A/Stockholm/63/2015. 50% ICP was used to calculate the titers. The error bars in (d) are standard deviations (SD) from the sample duplications (± 1 SD). Scale bars in (b) and (c) = 10 mm. Please click here to view a larger version of this figure.
Supplementary S1: Please click here to download this file.
| Typical dilution |
| MDCK cells | MDCK-SIAT1 cells |
| 2 days | 1:5 (1 + 4) | 1:10 (1 + 9) |
| 3 days | 1:10 (1 + 9) | 1:20 (1 + 19) |
| Typical number of cells per ml |
| MDCK cells | MDCK-SIAT1 cells |
| 2 days | 2 x 105 | 1 x 105 |
| 3 days | 1 x 105 | 5 x 104 |
Table 1: Typical dilutions on a subculture of confluent flasks of MDCK or MDCK-SIAT1 cells.
| Mode | Professional Mode |
| Document Type | Film (with Film Area Guide) |
| Auto Exposure Type | Photo |
| Image Type | 24-bit Color |
| Resolution | 1,200 dpi |
| Saved image Format | TIFF |
Table 2: Typical setup of a flatbed scanner.
| Row | Virus | Recommended dilution |
| A | A/Cameron/15V-3538/2016 | 1.0 x 10-2 |
| B | A/Vladivostok/36/2015 | 1.0 x 10-3 |
| C | A/Moscow/103/2015 | 1.1 x 10-1 |
| D | A/Tomsk/5/2015 | 5.9 x 10-1 |
| E | A/Moscow/101/2015 | 8.3 x 10-1 |
| F | A/Moscow/100/2015 | 1.4 x 10-2 |
| G | A/Moscow/133/2015 | 1.3 x 10-2 |
| H | A/Bratislava/437/2015 | 1.3 x 10-4 |
Table 3: Viral dilutions calculated from a population of 30% ICP.
| Column | Antisera | Recommended titer |
| 1 - 2 | A/HK4801/2014 | 110 |
| 3 - 4 | A/HK7295/2014 | 213.3 |
| 5 - 6 | A/South Africa/R2665/2015 | 2155.8 |
| 7 - 8 | A/Switzerland/9715293/2013 | 89.4 |
| 9 - 10 | A/Netherlands/525/2014 | 78.6 |
Table 4: Titers at 50% ICP of A/Stockholm/63/2015 against antisera.