Recent development of imaging flow cytometry (IFC) has enabled the measurements of
single cells with high throughput, where fluorescent labels provide specificity for cellular …

A dual-modality imaging flow cytometer (dIFC) that obtains both brightfield and light
scattering images of single cells simultaneously on one detector was developed. The unique …

Exosomes are extracellular vesicles that serve as promising intrinsic nanoscale biomarkers
for disease diagnosis and treatment. Nanoparticle analysis technology is widely used in the …

Pro-inflammatory (M1) and anti-inflammatory (M2) macrophage phenotypes play a
fundamental role in the immune response. The interplay and consequently the classification …

Cell identification and analysis play a crucial role in many biology‐and health‐related
applications. The internal and surface structures of a cell are complex and many of the …

Cervical cancer is a high‐risk disease that threatens women's health globally. In this study,
we developed the multi‐modal static cytometry that adopted different features to classify the …

细胞成像及检测技术在医学研究及临床诊断领域具有重要的研究意义和应用价值,
而无标记与高通量检测尤其具有挑战. 本研究基于动态散射理论的细胞成像方法 …

Two dimensional (2D) light scattering technology is an important part of the single cell
analysis, which can recognize the differences of inherent physical properties of biological …

Medical images play an essential role in detecting and diagnosing numerous diseases. With
different medical imaging modalities, a large volume of images is generated every day …

Conference title, upper and lower case, bolded, 18 point type, centered Page 1 Machine
Learning-assisted Label-Free Cytometry Based on Laser Light Scattering of Single Cells at …