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Jan 24, 2018 - Time-series Kvadehuken
Tabular Data - 2.0 KB - 8 Variables, 20 Observations - UNF:6:x2zTcWxFgMEQ9XGmOQRifA==
Jan 24, 2018 - Time-series Kvadehuken
ZIP Archive - 2.1 GB - MD5: 5c8de8922877eac5fa1f27be70460c83
Jan 24, 2018 - Time-series Kvadehuken
Tabular Data - 1000 B - 8 Variables, 10 Observations - UNF:6:DwucBlbFH/lFnB8v6/AvOQ==
Jan 24, 2018 - Time-series Kvadehuken
ZIP Archive - 466.0 MB - MD5: fbe09c1c90d4523f844917347c0c338d
Jan 24, 2018 - Time-series Kvadehuken
Tabular Data - 990 B - 8 Variables, 10 Observations - UNF:6:+dh1ePcJA2frhATmiwS8vw==
Jan 24, 2018 - Time-series Kvadehuken
ZIP Archive - 33.1 MB - MD5: c2664484f93387c1e0c10ca77ca6f622
Oct 1, 2021
Butola, Ankit, 2021, "Multi-modal on-chip nanoscopy and quantitative phase imaging reveals the nanoscale morphology of liver sinusoidal endothelial cells", https://doi.org/10.18710/AWRGH1, DataverseNO, V1
Visualization of 3D morphological changes in the subcellular structures of a biological specimen is a major challenge in life science. Despite conspicuous refinements in optical nanoscopy, the determination of quantitative changes in subcellular structures, i.e., size and thickness, remains elusive. We present an integrated chip-based optical nanos...
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