Artificially intelligent software has human-like ability to analyze host-pathogen interactions in microscopy images.
A neural network–based machine learning program called HRMAn spots several features of cells to determine whether they are infected with a pathogen (in this case, T. gondii), such as the number of vacuoles, which changes with infection, and the presence of host defense proteins and of the pathogen and its proteins.
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A long-term study of nearly 800 patients demonstrated a strong safety profile for T cells engineered with viral vectors.
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In this webinar, Andre Mueller will introduce Aunty, the latest tool that scientists use for rapid, high-resolution protein stability testing.
In this webinar, Nathan Sepulveda will share how to specifically and reproducibly measure residual HEK293 DNA during biotherapeutic product development.
Today’s thermocyclers are more intuitive and flexible, letting scientists focus on their experiments rather than their instruments.
As An Aid To Identify Patients With Amyloid Pathology Associated With Alzheimer's Disease.
Long-lasting, bright F-actin staining made easy with Biotium's new ActinBrite™ High Affinity Phalloidin Conjugates.
The Aivia 15 release includes deep learning-powered tools for 2D and 3D cell segmentation.
The integrated solution enables parallel high-resolution analysis of hundreds to thousands of individual cells, addressing growing demand for scalable, multiomics approaches in single-cell research.
