Label-free assessment of the drug resistance of epithelial ovarian cancer cells in a microfluidic holographic flow cytometer boosted through machine learning

L Xin, W Xiao, L Che, JJ Liu, L Miccio, V Bianco… - ACS …, 2021 - ACS Publications
About 75% of epithelial ovarian cancer (EOC) patients suffer from relapsing and develop
drug resistance after primary chemotherapy. The commonly used clinical examinations and …

Identification of drug-resistant cancer cells in flow cytometry combining 3D holographic tomography with machine learning

D Pirone, L Xin, V Bianco, L Miccio, W Xiao… - Sensors and Actuators B …, 2023 - Elsevier
Identifying drug-resistant cancer cells is of fundamental importance to afford disease and
find the most effective therapies for the patients. Recently, label-free imaging flow cytometry …

[HTML][HTML] Label-free cell classification in holographic flow cytometry through an unbiased learning strategy

G Ciaparrone, D Pirone, P Fiore, L Xin, W Xiao, X Li… - Lab on a Chip, 2024 - pubs.rsc.org
Nowadays, label-free imaging flow cytometry at the single-cell level is considered the
stepforward lab-on-a-chip technology to address challenges in clinical diagnostics, biology …

Quantitative assessment of cancer cell morphology and motility using telecentric digital holographic microscopy and machine learning

VK Lam, TC Nguyen, BM Chung… - Cytometry Part …, 2018 - Wiley Online Library
The noninvasive, fast acquisition of quantitative phase maps using digital holographic
microscopy (DHM) allows tracking of rapid cellular motility on transparent substrates. On two …

Fractal dimension-based viability analysis of cancer cell lines in lens-free holographic microscopy via machine learning

MA Pala, ME Çimen, A Akgül, MZ Yıldız… - The European Physical …, 2022 - Springer
Cell studies play an important role in the basis of studies on cancer diagnosis and treatment.
Reliable viability assays on cancer cell studies are essential for the development of effective …

[HTML][HTML] Automated classification of breast cancer cells using high-throughput holographic cytometry

CX Chen, HS Park, H Price, A Wax - Frontiers in Physics, 2021 - frontiersin.org
Holographic cytometry is an ultra-high throughput quantitative phase imaging modality that
is capable of extracting subcellular information from millions of cells flowing through parallel …

An optical study of drug resistance detection in endometrial cancer cells by dynamic and quantitative phase imaging

T Yao, R Cao, W Xiao, F Pan, X Li - Journal of biophotonics, 2019 - Wiley Online Library
Platinum chemosensitivity detection plays a vital role during endometrial cancer treatment
because chemotherapy responses have profound influences on patient's prognosis …

[HTML][HTML] Phenotyping neuroblastoma cells through intelligent scrutiny of stain-free biomarkers in holographic flow cytometry

D Pirone, A Montella, D Sirico, M Mugnano… - APL …, 2023 - pubs.aip.org
To efficiently tackle certain tumor types, finding new biomarkers for rapid and complete
phenotyping of cancer cells is highly demanded. This is especially the case for the most …

Label-free fingerprinting of tumor cells in bulk flow using inline digital holographic microscopy

DK Singh, CC Ahrens, W Li… - Biomedical optics express, 2017 - opg.optica.org
Large-scale and label-free phenotyping of cells holds great promise in medicine, especially
in cancer diagnostics and prognosis. Here, we introduce inline digital holography …

[HTML][HTML] High accuracy label-free classification of single-cell kinetic states from holographic cytometry of human melanoma cells

M Hejna, A Jorapur, JS Song, RL Judson - Scientific reports, 2017 - nature.com
Digital holographic cytometry (DHC) permits label-free visualization of adherent cells.
Dozens of cellular features can be derived from segmentation of hologram-derived images …