Sentence examples for spot processing from inspiring English sources

The improved performance of the Imin pooling metric is lost when using SPOT processing or combined Agilent foreground and SPOT background image processing, suggesting that these image processing techniques may be more effective at removing noise at low intensities.

Erick recently got a sneak peek at Intuit's GoPayment app for the iPad, a mobile payment app that lets anyone who sells a product or service get paid on the spot by processing credit cards.

This is coherent with seconds, as found by processing SPOT logs.

Importantly, delays in peripheral blood mononuclear cell processing before stimulation had a marked effect on the number of detectable spot forming cells; processing delay thus should be minimised as well as standardised.

They use all of the available image information instead of condensing it to spot boundaries before processing.

Whilst dislocation based hot spots are sub-critical in nature, they could contribute to these hot spot processes, especially as crystals grown and mechanically deformed during processing are more than likely to be highly defective in nature.

The test slides also included background control spots produced by processing PCR reactions without template (PCR primers with no amplification product).

The unique design of CFseq integrates optimized dried blood spot sample processing, a novel multiplex amplification method from as little as 1 ng of genomic DNA, and multiplex next-generation sequencing of 96 samples in a single run to detect all relevant CFTR mutation types.

The drilling process can easily be adapted to wide variations in lot size, processing accuracy, processing spot patterns where holes are made, and so on.

This new approach to artificial intelligence involves teaching computers to spot patterns in data by processing it in ways inspired by networks of neurons in the brain (see "Breakthrough Technologies 2013: Deep Learning").

Chip manufacturing differences such as probe selection, processing protocols, and spot normalization algorithms contribute to variability that can distort mRNA transcript abundance measurements and introduce inconsistencies to hinder cross-platform comparisons.