The Knowledge Foundation’s “Sample Prep Symposium” held recently in Baltimore focused on the mundane but critical aspects of sample preparation including collection, concentration, lysis, target ...
Next-generation sequencing (NGS) is increasingly employed to dive deeper into complex biological mechanisms in a myriad of disciplines. But as with most methodologies, the quality of the input ...
Atomic force microscopy (AFM) is a very popular analysis tool for 3D surface topology visualization and other measurements on a wide range of materials at nanoscales ...
LONDON--(BUSINESS WIRE)--The sample preparation market is set to grow by USD 2.29 billion, accelerating at a CAGR of almost 7%, during the period spanning over 2020-2024. One of the key factors ...
Mass spectrometry has become a cornerstone technology for studying protein expression, interactions, and post-translational modifications (PTMs) across biological systems. Advances in instrumentation ...
High-quality sample preparation underpins every molecular workflow, determining whether downstream analyses accurately reflect biological reality. Laboratories now demand workflows that go beyond ...
SEMs are capable of imaging many different sample types including semiconductors, metals and alloys, polymers, ceramics and biological samples. Some samples can be more difficult to image and must be ...
Next-generation sequencing (NGS) is an exquisitely sensitive technique for bulk parallel sequencing of genetic material. The speed and overall efficiency of NGS workflows enable high-throughput ...
MINNEAPOLIS--(BUSINESS WIRE)--ASMS 2022 - Thermo Fisher Scientific Inc., the world leader in serving science, is helping proteomics researchers increase productivity and free up time for more ...
When thinking of celebrated technological innovations, it is perhaps rare that we consider the role of material scientists: the unsung heroes of advancement. Nonetheless, it is the great work of these ...
Manual sample prep consumes 60% of time spent during analysis and contributes to 30% of errors. Automated sample prep ...
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