Company News

Sterlitech would like to notify our customers that the Trisep MF01 Flat Sheet Membranes are being discontinued by the manufacturer. Limited quantities are available. 

Product: Trisep MF01 Flat Sheet Membrane 

Manufacturer: TriSep 

In this final installment of our AlphaFold series, we will tell the story of how DeepMind, a research developer in the AI community, leveraged its AlphaFold system to play a vital role in the fight against COVID-19.

Usually, researchers start with bench-scale feasibility testing.

That means using a membrane sample from a large-scale membrane module offered by commercial manufacturers and testing that in a bench-scale filtration setup.

Checkout our infographic on how scientists in NASA's Oceans Accross Space and Time (OAST) research Alliance used the Rocker Watervac MS-100 to revolutionize their field lab.

The International Day of Women and Girls in Science is the 11th day of February 2021. The day recognizes the critical role women and girls play in science and technology. Many motivating women have made famous contributions to science and helped advance understanding of the world around us. Take our brief quiz below to see if you can recognize any facts about these famous female scientists.

While 2020 was a difficult time across many metrics, it was an exciting year for protein science!

We look back on 2020 with the 5 most popular blog entries of the year.

The people have spoken! Check out our greatest blog articles over the last 4 years. They're so good, they withstand the test of time.

It’s a 20 minute drive south from UC San Diego, through San Diego proper, to the salt pools at the South Bay Salt Works.

The Salt Works comprises 28 ponds of various sizes and salinities, making it an ideal laboratory for the study of biomass distribution across multiple environments. The ponds range from the salinity of the ocean to the point where certain salts reach saturation and start to precipitate out of the brine.

Artificial Intelligence revolutionizes how we study proteins

Predicting the shape of a protein from its amino acid sequence is one of biology’s greatest puzzles, known as the protein folding problem. The three dimensional, or globular shape of a protein is essential to its cellular function, which means that visualizing protein structures is vital to numerous fields across the biological sciences. However, there are significant challenges to solving protein conformations through lab-based methods. Huge diversity of amino acid combinations, health risks from X-Ray crystallography, and rapid degradation of protein samples has led to slow and often frustrating progress for biochemists over the last fifty years (1). The next generation of methods in protein structure elucidation hinge on advanced computing power and artificial intelligence.