These methods enable high-performance electronics on plastic or elastomer substrates, as demonstrated in several different application examples.
Recent advances in library preparation methods enable high-throughput next generation sequencing (NGS) and technological improvements in sequencing chemistries now offer sufficient read lengths to encompass STR alleles.
While neuroanatomical methods enable high-resolution mapping of neural circuitry, these approaches do not allow systematic molecular profiling of neurons based on their connectivity.
The proteomics field has benefited tremendously from this development; often only the use of these automated methods enables high-throughput proteomics experiments.
Our experiments demonstrated that this more cost-efficient method enables high specificity, sensitive detection of miRNAs in S. japonicum.
The stored waveform inverse Fourier transform (SWIFT) method enables high mass selectivity and achieves better isoform detection but can only be implemented on an FTICR instrument.
Our method enables high-resolution modeling without heat flow data, but with earthquake hypocenter data in the crust and seismic attenuation data in the upper mantle.
The method enabled high-throughput and accurate species identification and should be applicable to any group of organisms where there is length variation in regions of rDNA.
Furthermore, the wide-field, volumetric imaging method enables high-throughput, quantitative analysis of a large number of synapses from different brain regions.
Fayad et al. (2010) developed a sensitive method enabling high-throughput sample analysis of eight selected steroid hormones using a novel sample introduction method, LDTD-APCI coupled to MS/MS.
This method enables high-confidence identification of the myristoylated proteome on an unprecedented scale in cell culture, and allowed the first quantitative analysis of dynamic changes in protein lipidation during vertebrate embryonic development.
