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This marriage has opened new vistas for biomedical applications that require spectroscopic information with good spatial resolution and identification of intra-cellular components under physiological conditions.
Our employment of modified tissue protocols in conjunction with high mass accuracy FTICR instrumentation and MS/MS fragmentation analysis allows enhanced spatial resolution and identification of CL species in this difficult tissue.
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The proposed approach includes four main steps: (i) the initial screening of column chemistry, mobile phase pH and organic modifier, (ii) the selectivity optimization through changes in gradient time and mobile phase temperature, (iii) the adaptation of column geometry to reach sufficient resolution, and (iv) the robust resolution optimization and identification of the method design space.
Prefractionation ultimately increases loading capacity of samples onto the 2-DE gel and leads to better resolution, visualization and identification.
Additionally, advances in MS, including high-resolution time-of-flight (ToF) and quadrupole time-of-flight (qTOF) instruments, along with serial ion fragmentation (MS-MS, MSn) have improved resolution, coverage and identification of low-molecular-weight species [ 29].
The design, calibration and performances of the calorimeter on efficiency, time/position/energy resolution and particle identification is reviewed.
The resolution and particle identification capability that can be achieved with a small detector consisting of a few silicon layers has been investigated.
The detector development has also a potential for application in other fields of research where good energy resolution and particle identification is needed.
Here we highlight the utility of mitochondrial cytochrome oxidase subunit I (COI) DNA sequences for taxonomic resolution and species identification of all species within C. obsoletus and C. pulicarus complexes.
The energy resolution and particle identification capabilities of these detectors depend in part on the ability to accurately identify individual photoelectrons in PMT waveforms despite large variability in pulse amplitudes and pulse pileup.
Compared to simpler methods based on either observed charge or peak finding, the photoelectron counting technique improves both energy resolution and particle identification of low energy events in calibration data from the DEAP-1 detector and simulation of the larger MiniCLEAN dark matter detector.
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