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Cell Science Newsletter September 2018

Label Free Publication

 

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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cell_methods_title_rnp_transfection_web.jpg

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.

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Titin

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 Cell Science small button

 

Allen Integrated Cell

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.

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Website Updates September 2016

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 Cell Science small button

 

Mitosis

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.

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ASCB 2018

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.

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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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