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aperture > 1, and a new class of reconstruction algorithms to decrease the effective pixel (to 100 nm) and remove background noise. We will use LHN to enable the discovery of a new mechanistic understanding
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tomographic scenario, numerical aperture > 1, and a new class of reconstruction algorithms to decrease the effective pixel (to 100 nm) and remove background noise. We will use LHN to enable the discovery of a
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to anti-cancer drugs as a proof-of-concept of a personalized approach to cancer treatment. Altogether, in the project, we will establish a highly controlled and versatile tissue-on-chip platform
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