A new statistical analysis technique that identifies and removes systematic bias, noise and equipment-based artifacts from experimental data could lead to more precise and reliable measurement of nanomaterials and nanostructures likely to have future industrial applications.

As more therapeutic proteins enter the market, an even larger number accumulate in biopharmaceutical drug pipelines. In order to improve assay quality and manage the growing workload, automated systems are needed to provide qualitative and quantitative information.

Whether vacuum is utilized for analytical purposes in corporate R&D or in government or university laboratory settings, those who depend on vacuum pumps do not expect vacuum to have color. However, in very significant and measurable ways, vacuum can be green.

Getting a new drug into the hands of patients is no easy feat. Pharmaceutical companies have to go through a myriad of tests in cell cultures, animals and humans before discovering and developing treatments for illnesses.