The mechanics of myeloid cells

KR Bashant, N Toepfner, CJ Day, NN Mehta… - Biology of the …, 2020 - Wiley Online Library
The effects of cell size, shape and deformability on cellular function have long been a topic
of interest. Recently, mechanical phenotyping technologies capable of analysing large …

Mechano-immunology in microgravity

A Murali, RR Sarkar - Life Sciences in Space Research, 2023 - Elsevier
Life on Earth has evolved to thrive in the Earth's natural gravitational field; however, as
space technology advances, we must revisit and investigate the effects of unnatural …

Deep learning assisted mechanotyping of individual cells through repeated deformations and relaxations in undulating channels

C Combs, DD Seith, MJ Bovyn, SP Gross, X Xie… - …, 2022 - pubs.aip.org
Mechanical properties of cells are important features that are tightly regulated and are
dictated by various pathologies. Deformability cytometry allows for the characterization of the …

Geometric separability of mesoscale patterns in embedding representation and visualization of multidimensional data and complex networks

A Acevedo, Y Wu, FL Traversa… - PLOS Complex …, 2024 - journals.plos.org
Complexity science studies physical phenomena that cannot be explained by the mere
analysis of the single units of a system but requires to account for their interactions. A feature …

DCT-based White Blood Cell Image Enhancement for Recognition Using Deep Learning

AQ Vu, HQ Bui, LT Nguyen, TN Le - IEEE Access, 2024 - ieeexplore.ieee.org
White blood cell (WBC) recognition is still a challenging problem because of the high
variability and complexity of blood cell images. Blood cell images can vary in quality …

A Data-Centric Approach to Investigate the Feasibility of Utilizing Animal Medical Data as a Solution for Human Medical Data Scarcity

R Alqudah, CY Suen - IEEE Access, 2024 - ieeexplore.ieee.org
Reticulocyte count is a routine blood test that can be an essential source of knowledge for
medical doctors to diagnose and assess patients' health condition. In fact, the automation of …

Measuring Group Separability in Geometrical Space for Evaluation of Pattern Recognition and Dimension Reduction Algorithms

A Acevedo, C Duran, MJ Kuo, S Ciucci… - IEEE …, 2022 - ieeexplore.ieee.org
Evaluating group separability is fundamental to pattern recognition. A plethora of dimension
reduction (DR) algorithms has been developed to reveal the emergence of geometrical …

A computer system for the leukocytes classification in medical images

EM Chernykh, VM Mikhelev - Journal of Physics: Conference …, 2021 - iopscience.iop.org
The paper is about the development of a computer system for the white blood cells images
classification. Solving the leukocytes classification task makes it possible to diagnose not …

Projection separability: A new approach to evaluate embedding algorithms in the geometrical space

AMA Toledo - 2024 - tud.qucosa.de
Abstract (EN) Evaluating separability is fundamental to pattern recognition. A plethora of
embedding methods, such as dimension reduction and network embedding algorithms …

[图书][B] Mechanotyping Cells through Microfluidics and Machine Learning

CT Combs - 2022 - search.proquest.com
Traditionally, phenotyping cells has been approached through the biological lens of looking
at proteins, DNA, RNA, or other molecular descriptions of cells. We present the use of …