Sentence examples for ml square from inspiring English sources

Exact(5)

For this assay, the media was prepared in the same manner as above, but the two substrates were then moved to a large (150 ml) square petri plate.

The two media were carefully removed from the small petri dish lids and placed in the bottom half of a 150 ml square petri dish.

Bioconversions were performed in 96-sdMTP (Waters, 2 ml square collection plate) for 3 hours at 37°C with shaking essentially as described [ 26].

Cultures were grown for 4 hours in 96-sdMTP (Waters, 2 ml square collection plate) at 30°C in a Titramax 1000 shaker (Heidolph) at 1050 rpm, 1.5 mm shaking diameter.

The microplate was a standard storage plate (1.2 mL square round-bottom plate, ABGene Ltd ,Epsom, UK) with 800 µL working volume per well located on a magnetic stirrer (710CI, V&P Scientific) and mounted on the deck of a liquid handling robot (Evo 150, Tecan UK Ltd, Reading, UK).

Similar(55)

FAMEs synthesis reactions were carried out in 100 ml squared bottles for 24 h at 35°C with 250 rpm agitation in a horizontal shaker.

The Pearson chi-square, ML chi-square, paired t test, factor analysis and structure equation modeling (SEM) were used to get the statistical results.

The Pearson Chi-square tests and ML Chi-square were performed and recorded on Table 3.

A multi-well centrifuge was used (Centrifuge 5810R; Eppendorf, Hamburg, Germany, equipped with a 2 mL deep square well plate format (Abgene, Epsom, UK)) using a method previously described by Tait et al. (2009).

Overall statistical significance of differences among syndromes is based on ML chi-square test Overall statistical significance of differences among syndromes is based on ML chi-square test.

In section 4, we address the problem of localization by combining DoA estimates of multiple sensors: we first derive the CRB of the achievable localization error, highlighting its dependence on distances and angles between sensors and target, and then we introduce practical algorithms: maximum-likelihood (ML), least-squares (LS), and Stansfield estimators.

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