However, the reliable application of these methods requires highly-specialised personnel, dedicated equipment and space.
Current PEC defect classification methods require highly trained personnel and the results are usually influenced by human subjectivity.
Although these methods require highly specialized instruments, they do offer a powerful approach for unique cases.
Furthermore, LC-MS/MS methods require highly qualified personnel and cannot currently be used in remote locations with limited technical services.
However, these methods require highly structured experimental designs and are not applicable to single-channel microarrays or microarrays with several probes per gene.
For example, PCR-based methods require highly multiplexed oligonucleotide pairs targeted to heterogeneous sequences with a range of melting temperatures and CG content to generate hundreds or thousands of amplicons in a single tube.
Currently, this method requires highly specialized technicians and resists automatization.
However, this method requires highly trained observers, is time consuming, and may be inaccurate for detection of infections at low levels of parasitemia.
Visualization of biochemical perturbations in whole organisms requires highly sensitive methods that allow detection in a quantitative and reproducible manner [ 1- 3].
Monitoring activity of specific signaling pathways in vivo is challenging and requires highly sensitive methods to detect dynamic perturbations in whole organisms.
The investigation of welders at their workplace requires highly robust methods to avoid accidental oxidative damage, particularly during the sampling, transport, storage, and processing of biological samples.
