Decoding Cell Structure

Qin, Yue; Marquez, Charlotte (Curtis); Ideker, Trey (2022). Decoding Cell Structure. In Art of Science. UC San Diego Library Digital Collections. https://doi.org/10.6075/J07S7NZM

Caption: Using a groundbreaking new technique we can now decode human cell structure directly from data
Participant category: Graduate student
Department: School of Medicine

In “A multi-scale map of cell structure fusing protein images and interactions” (Yue Qin, et al. Nature 2021), scientists demonstrate a groundbreaking AI approach in silico to decode the convoluted human cell structure directly from data. This innovative new approach to mapping cell structure combines microscopy, biochemistry and artificial intelligence to reveal previously unknown cell components. Here we see MuSIC interpreted as binary streams of data raining down to form the structure of a cell.

• 2022-05-09

• 2022

• Qin, Yue

• Ideker, Trey
• Marquez, Charlotte (Curtis)

• Ideker Lab, UC San Diego School of Medicine

• Art of Science Contest - 2022

• Art and science
• Artificial intelligence
• Biochemistry
• Cell components
• Microscopy

• image

• No linguistic content; Not applicable

Doi: https://doi.org/10.6075/J07S7NZM

Other resource

• Ideker Lab, UC San Diego School of Medicine (idekerlab.ucsd.edu/)
• UC San Diego School of Medicine (medschool.ucsd.edu/)

Creative Commons Attribution 4.0 International Public License

• Qin, Yue; Marquez, Charlotte (Curtis); Ideker, Trey

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2022-09-09