Engineered tissue models to replicate dynamic interactions within the hematopoietic stem cell niche

AE Gilchrist, BAC Harley - Advanced healthcare materials, 2022 - Wiley Online Library
Hematopoietic stem cells are the progenitors of the blood and immune system and represent
the most widely used regenerative therapy. However, their rarity and limited donor base …

Polarized light-based cancer cell detection techniques: a review

SN Tukimin, SB Karman, MY Ahmad… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Cancer is becoming raging phenomenon in clinical and pharmaceutical studies worldwide.
It can be diagnosed by several step, including physical examination, blood or serum tests …

Two‐dimensional light scattering anisotropy cytometry for label‐free classification of ovarian cancer cells via machine learning

X Su, T Yuan, Z Wang, K Song, R Li, C Yuan… - Cytometry Part …, 2020 - Wiley Online Library
We develop a single‐mode fiber‐based cytometer for the obtaining of two‐dimensional (2D)
light scattering patterns from static single cells. Anisotropy of the 2D light scattering patterns …

Integration of light scattering with machine learning for label free cell detection

W Yu Wan, L Liu, X Liu, W Wang… - Biomedical Optics …, 2021 - opg.optica.org
Light scattering has been used for label-free cell detection. The angular light scattering
patterns from the cells are unique to them based on the cell size, nucleus size, number of …

Automatic classification of label‐free cells from small cell lung cancer and poorly differentiated lung adenocarcinoma with 2D light scattering static cytometry and …

H Wei, L Xie, Q Liu, C Shao, X Wang, X Su - Cytometry Part A, 2019 - Wiley Online Library
Small cell lung cancer (SCLC) needs to be classified from poorly differentiated lung
adenocarcinoma (PDLAC) for appropriate treatment of lung cancer patients. Currently, the …

Multi‐wavelength multi‐direction laser light scattering for cell characterization using machine learning‐based methods

L Liu, MZ Islam, X Liu, M Gupta, W Rozmus… - Cytometry Part …, 2023 - Wiley Online Library
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 …

Automatic classification of acute and chronic myeloid leukemic cells with wide-angle label-free static cytometry

L Xie, Q Liu, C Shao, X Su - Optics Express, 2017 - opg.optica.org
A wide-angle 2D light scattering static cytometer is developed for the automatic classification
of label-free acute and chronic myeloid leukemic cells. This wide-angle cytometer collects …

Machine learning of diffraction image patterns for accurate classification of cells modeled with different nuclear sizes

J Liu, Y Xu, W Wang, Y Wen, H Hong… - Journal of …, 2020 - Wiley Online Library
Measurement of nuclear‐to‐cytoplasm (N: C) ratios plays an important role in detection of
atypical and tumor cells. Yet, current clinical methods rely heavily on immunofluroescent …

Accurate 3D morphological computational model reconstruction of suspended cells imaged through stratified media by the precise depth-varying point spread function …

Z Yang, L Zhang, N Lv, C Song, H Wang, L Luo… - Optics …, 2022 - opg.optica.org
Accurate three-dimensional (3D) morphological computational models of cells are important
in a number of biological studies. This study proposes a precise depth-varying point spread …

Convolutional neural network-based regression analysis to predict subnuclear chromatin organization from two-dimensional optical scattering signals

Y Al-Kurdi, C Direkoǧlu, M Erbilek… - Journal of Biomedical …, 2024 - spiedigitallibrary.org
Significance Azimuth-resolved optical scattering signals obtained from cell nuclei are
sensitive to changes in their internal refractive index profile. These two-dimensional signals …