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Artificial Intelligence Sees More in Microscopy than Humans Do
Jef Akst | May 1, 2019 | 8 min read
Deep learning approaches in development by big players in the tech industry can be used by biologists to extract more information from the images they create.
Building Nanoscale Structures with DNA
Arun Richard Chandrasekaran | Jul 16, 2017 | 10+ min read
The versatility of geometric shapes made from the nucleic acid are proving useful in a wide variety of fields from molecular computation to biology to medicine.
Top 10 Innovations 2012
The Scientist | Dec 1, 2012 | 10+ min read
The Scientist’s 5th installment of its annual competition attracted submissions from across the life science spectrum. Here are the best and brightest products of the year.
2009 Top 10 Innovations
The Scientist | Dec 1, 2009 | 10+ min read
#featureArticleHeadWrapper img { border:none; float:none; margin:5px 0; }#featureArticleContent p.comment { font-weight: bold; color: #333333; font-size: 11px; line-height: 15px; }span.judge_1 { color: #E93593; } span.judge_2 { color: #20BCED; } span.judge_3 { color: #C1CD2F; } span.judge_4 { color: #F69723; } The Scientist Top 10 Innovations: 2009 The ten most exciting tools to hit the life sciences this year. It’s b
Image Is Everything
Brent Johnson | Feb 1, 1999 | 10+ min read
Date: February 1, 1999Table of Confocal Microscope Manufacturers Perhaps in few other fields has the creation of an instrument been so important to the establishment of a new theory or discipline. Even the Galilean telescope, with its revelation of the Medicean moons, does not compare to the microscope because the foundation for astronomy had already been well established by naked-eye observation. Cell theory, by contrast, had no such foundation in anecdotal experience. However, it wasn't long

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