 Access the 3D segmentation power of the Allen Cell & Structure Segmenter via an intuitive graphical user interface, newly available as a plugin for the popular open source image analysis software napari.
Cell states beyond transcriptomics: Integrating structural organization & gene expression in hiPSC-derived cardiomyocytes
We made major upgrades to your website navigation experience on allencell.org! The navigation menu has been reorganized and categorized, with many pages renamed (old URLs will automatically redirect).  A screenshot of the MegaMenu navigation used on allencell.org as of May 2021.
 Omar Quintero is an associate professor of biology at the University of Richmond who sits on a Project Advisory Council for the Allen Institute for Cell Science that is focused on developing cutting edged tools for education. In the period directly after the killing of George Floyd and the nationwide protests against systemic racism that followed, Quintero, considered how he might find a way to support the work and careers of Black scientists. He decided to develop a seminar, the 2020 Scientist of Color Speaker Series. (–paraphrased from the article below)
Read the full article on the University of Richmond website: Professor brings together scientists of color in speaker series CRISPR interference technique enables study of basic cell biology and disease in human stem cells  The CRISPR interference technique allows new explorations of human cells. Here, Allen Distinguished Investigator Martin Kampmann, Ph.D., and his colleagues used the method to reduce levels of a dementia-associated protein known as progranulin, shown in green on the left, in human neurons by dialing down the progranulin gene in the cells on the right. (Image adapted from Tian et al (2019) Neuron 104:239)
Strategic license to advance the field of 3D and live cell imaging.  Figure 1. Images from our collection of cells can be used to generate models that produce integrated images of 3D subcellular structures—all from an input brightfield image of a field of cells. Cell segmentations can then be applied to the predictions to determine structure localization for individual cells. Cytiva and the Allen Institute have entered into a license agreement to integrate the Allen Institute’s machine learning technology with Cytiva’s microscopy and image analysis systems to advance the development of cell imaging innovations....
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