Nanomedicine: Nanotechnology, Biology, and Medicine
ISSN: 1549-9634
Datasets associated with articles published in Nanomedicine: Nanotechnology, Biology, and Medicine
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- Data for: Deep convolutional neural networks combine Raman spectral signature of serum for prostate cancer bone metastases screening1. Raw Raman spectra data of PCA with and without BM. 2. clinical data of patients in this cohort.
- Dataset
- Data for: Temporal sequence of the human RBCs' vesiculation observed in nano-scale with application of AFM and complementary techniquesAttached files include: - orginal data from ABX Penta 400 biochemical analyzer collected weekly for N=3, file named Biochemical analysis - orginal data from ABC Vet, Horiba hematology analyzer collected weekly for N=3, file named Hematologic analysis - orginal data from RheoScanAnD 300 slit-flow ektacytometer collected weekly for N=3, file named Ektacytometry - data received from BD LSII flow cytometer collected weekly for N=3, file named Flow Cytometry - data received from WITec confocal CRM alpha 300 Raman microscope combined with an AFM collected weekly for N=3, file named CrossSectionAnalysis
- Dataset
- Data for: Label-free Characterization of Exosome via Surface Enhanced Raman Spectroscopy for the Early Detection of Pancreatic CancerSERS raw data and PC-DFA
- Dataset
- 一种超长循环纳米颗粒，用于恢复高选择性BCRABL抑制剂，长期有效且安全地治疗慢性髓系白血病NMRSize and Zeta Potential (DLS and TEM)PK datasDrug deliveryGPCBlood analysisBiodistributionXenograft and engraftment model
- Dataset
- Supplementary Information for: Single-cell kinetics of siRNA-mediated mRNA degradationThis repository contains code and data used by Rafał Krzysztoń et al.: Single-Cell Kinetics of siRNA-Mediated mRNA Degradation. The publication is available as doi:10.1016/j.nano.2019.102077.
- Software/Code