Machine Learning Technique to Predict Human Cells' Organization Published in Nature Methods
Scientists at the Allen Institute for Cell Science have published a new study in which they use machine learning to train computers to see parts of the cell using brightfield micrographs. Learn more in our press release.
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Allen Cell Discussion Forum launched
A new online discussion forum offers a meeting spot for the gene-editing and stem cell research community to interact with one another and with the scientists that created the Allen Institute's fluorescently tagged human induced pluripotent stem cell (hiPSC) line collection.
Sign up to read and post here
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New cell lines available
Five more fluorescently tagged hiPSC lines have been added to the Allen Cell Collection. The new lineup includes two new nuclear structures and three cardiomyocyte-specific structures. Find out more about the lines and how to order them on our website.
Browse all cell lines
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5 things we (still) don't know about cells
"We know so little about the rules that govern how our cells work, let alone how our bodies work." Cells were first discovered more than 350 years ago, yet our researchers share their thoughts on some things we still don't understand.
Read our feature story
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New video tutorial published on JoVE
JoVE, a scientific video methods journal, published a video protocol developed by Allen Institute researchers for tagging endogenously expressed proteins with fluorescent tags in human induced pluripotent stem cells using CRISPR/Cas9.
Watch the video
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In case you missed it: Integrated View of the Mitotic hiPS Cell
Allen Institute for Cell Science researchers presented a research project earlier this year describing images of mitotic hiPS cells. The project includes 3D images from 14 fluorescently tagged structure lines during mitosis, allowing viewers to observe structural changes for each mitotic stage and examine their combined localizations.
View more
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Join us at ASCB 2018
Meet scientists from the Allen Institute for Cell Science at this year's ASCB conference. Visit us at booth #723 and keep up with us on social media (#ascbembo18). Learn more about our Tech Talks, presentations, posters, and booth happenings on our website.
Visit event website
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IN THE NEWS
2 Nature studies illustrate the ability of AI to dive deeper into medical images and pathology Fierce Biotech, September 19, 2018
Visualizing the Organization of Human Cells With Machine Learning Labroots, September 18, 2018
Lab Chat: Teaching machines to peek inside cells STAT, September, 2018
Machine Learning Method Sheds Light on Cell Organization Genetic Engineering & Biotechnology News, September 18, 2018
Machine Learning Enables Label-Free Prediction of 3D Images from Transmitted-Light Microscopy Photonics, September 21, 2018
Is AI the Key to Diving Deeper into Images and Pathology? Medical Device + Diagnostic Industry, September 19, 2018
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