Perspectives on liquid biopsy for label‐free detection of “circulating tumor cells” through intelligent lab‐on‐chips-Reference-Cited by-同舟云学术

Perspectives on liquid biopsy for label‐free detection of “circulating tumor cells” through intelligent lab‐on‐chips

Published:2020-08-27 Issue:3 Volume:1 Page:20200034
ISSN:2688-268X
Container-title:View
language:en
Short-container-title:View

Author:

Miccio Lisa¹²^ORCID,Cimmino Flora³,Kurelac Ivana⁴⁵,Villone Massimiliano M.⁶²^ORCID,Bianco Vittorio¹²,Memmolo Pasquale¹²,Merola Francesco¹²,Mugnano Martina¹²,Capasso Mario³⁷,Iolascon Achille³⁷,Maffettone Pier Luca⁶²,Ferraro Pietro¹²^ORCID

Affiliation:

1. CNR‐ISASI Institute of Applied Sciences and Intelligent Systems E. Caianiello Pozzuoli Italy

2. NEAPoLIS, Numerical and Experimental Advanced Program on Liquids and Interface Systems Joint Research Center CNR ‐ Università degli Studi di Napoli “Federico II” Napoli Italy

3. CEINGE Biotecnologie Avanzate Naples Italy

4. Dipartimento di Scienze Mediche e Chirurgiche Università di Bologna Bologna Italy

5. Centro di Ricerca Biomedica Applicata (CRBA) Università di Bologna Bologna Italy

6. Dipartimento di Ingegneria Chimica dei Materiali e della Produzione Industriale Università degli Studi di Napoli “Federico II” Napoli Italy

7. Dipartimento di Medicina Molecolare e Biotecnologie Mediche Università degli Studi di Napoli Federico II Naples Italy

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/VIW.20200034

Reference187 articles.

1. NCI Dictionary of Cancer Terms https://www.cancer.gov/publications/dictionaries/cancer-terms(accessed: February 2020).

2. Liquid Biopsies, What We Do Not Know (Yet)

3. Liquid biopsy in ovarian cancer using circulating tumor DNA and cells: Ready for prime time?

4. Challenges in circulating tumour cell research

Cited by 77 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automated classification of elliptical cancer cells with stain-free holographic imaging and self-supervised learning;Optics & Laser Technology;2024-07

2. Recent advances in nano/microfluidics-based cell isolation techniques for cancer diagnosis and treatments;Biochimie;2024-05

3. Deep learning for accelerating Radon inversion in single-cells tomographic phase imaging flow cytometry;Optics and Lasers in Engineering;2024-01

4. Label-free cell classification in holographic flow cytometry through an unbiased learning strategy;Lab on a Chip;2024

5. Label‐Free Imaging Flow Cytometry for Cell Classification Based on Multiple Interferometric Projections Using Deep Learning;Advanced Intelligent Systems;2023-11-03