Sentence examples for methods and hardware from inspiring English sources

In recent years, developments in both SPECT MPI reconstruction methods and hardware have been in part affected by clinical desire of increased and more economical patient throughput.

Each of these architectures typically includes a number of innovations, concerning both methods and hardware solutions, which are either covered by patents or classified.

The present review describes window chamber methods and hardware, the measurement of oxygen, and the introduction into the chamber of tumors, growth factors, and organs to induce angiogenesis.

Trying to capture all the applications, methods, and hardware encompassed by low-field NMR would be a daunting task and likely of little interest to researchers or industrialists working in specific subject areas.

The categories, designed to cover every aspect of the emergence and development of fMRI, include: pre-fMRI; the first BOLD brain activation results; developments in pulse sequences, imaging methods, and hardware for fMRI; methodological developments, issues, and mechanisms; new paradigm designs; education; and the future.

Eventual translation of the HCO3−/CO2 ratio to measure pHi in the clinic will require considerable technological advances, in terms of improved methods and hardware for acquisition of C images, and access to affordable hyperpolarization tools and C-labelled compounds.

The proposed method and hardware architecture enable an accurate original sense data reconstruction in the slow processor clock frequency.

The collection method and hardware design are recognized to significantly affect the metabolomic content of EBC samples, but this has not been systematically studied.

Thereby, a position provider encapsulates methods, algorithms and hardware.

The main purpose of this study is to confirm the feasibility and effectiveness of the methods developed and hardware equipment for determining thermal properties of particular modern high porous materials.

Many mentioned that the methods, software, and hardware necessary to handle the massive amounts of data were being developed but were relatively new to most molecular biologists.