Identification of drug-resistant cancer cells in flow cytometry combining 3D holographic tomography with machine learning
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 …
find the most effective therapies for the patients. Recently, label-free imaging flow cytometry …
Sensing morphogenesis of bone cells under microfluidic shear stress by holographic microscopy and automatic aberration compensation with deep learning
We present sensing time-lapse morphogenesis of living bone cells under micro-fluidic shear
stress (FSS) by digital holographic (DH) microscopy. To remove the effect of aberrations on …
stress (FSS) by digital holographic (DH) microscopy. To remove the effect of aberrations on …
Involvement of cell shape and lipid metabolism in glioblastoma resistance to temozolomide
Temozolomide (TMZ) has been used as standard-of-care for glioblastoma multiforme (GBM),
but the resistance to TMZ develops quickly and frequently. Thus, more studies are needed to …
but the resistance to TMZ develops quickly and frequently. Thus, more studies are needed to …
Quantitative scoring of epithelial and mesenchymal qualities of cancer cells using machine learning and quantitative phase imaging
Significance: We introduce an application of machine learning trained on optical phase
features of epithelial and mesenchymal cells to grade cancer cells' morphologies, relevant to …
features of epithelial and mesenchymal cells to grade cancer cells' morphologies, relevant to …
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 …
stepforward lab-on-a-chip technology to address challenges in clinical diagnostics, biology …
Drug-resistant profiles of extracellular vesicles predict therapeutic response in TNBC patients receiving neoadjuvant chemotherapy
Background Predicting tumor responses to neoadjuvant chemotherapy (NAC) is critical for
evaluating prognosis and designing treatment strategies for patients with breast cancer; …
evaluating prognosis and designing treatment strategies for patients with breast cancer; …
Multiparametric quantitative phase imaging for real-time, single cell, drug screening in breast cancer
ER Polanco, TE Moustafa, A Butterfield… - Communications …, 2022 - nature.com
Quantitative phase imaging (QPI) measures the growth rate of individual cells by quantifying
changes in mass versus time. Here, we use the breast cancer cell lines MCF-7, BT-474, and …
changes in mass versus time. Here, we use the breast cancer cell lines MCF-7, BT-474, and …
Holographic flow scanning cytometry overcomes depth of focus limits and smartly adapts to microfluidic speed
Space-time digital holography (STDH) maps holograms in a hybrid space-time domain to
achieve extended field of view, resolution enhanced, quantitative phase-contrast microscopy …
achieve extended field of view, resolution enhanced, quantitative phase-contrast microscopy …
[HTML][HTML] Shapes of cell signaling
Cell signaling is a complex process organized in time and space. Signal transduction is
constantly modulated by cell-intrinsic and cell-extrinsic input cues and the resulting …
constantly modulated by cell-intrinsic and cell-extrinsic input cues and the resulting …
Simple adaptive mobile phone screen illumination for dual phone differential phase contrast (DPDPC) microscopy
S Kheireddine, ZJ Smith, DV Nicolau… - Biomedical optics …, 2019 - opg.optica.org
Phase contrast imaging is widely employed in the physical, biological, and medical
sciences. However, typical implementations involve complex imaging systems that amount …
sciences. However, typical implementations involve complex imaging systems that amount …