Analysis of live cell images: Methods, tools and opportunities

TA Nketia, H Sailem, G Rohde, R Machiraju, J Rittscher - Methods, 2017 - Elsevier
Advances in optical microscopy, biosensors and cell culturing technologies have
transformed live cell imaging. Thanks to these advances live cell imaging plays an …

An objective comparison of cell-tracking algorithms

V Ulman, M Maška, KEG Magnusson, O Ronneberger… - Nature …, 2017 - nature.com
We present a combined report on the results of three editions of the Cell Tracking
Challenge, an ongoing initiative aimed at promoting the development and objective …

Bioimage analysis and cell motility

A Boquet-Pujadas, JC Olivo-Marin, N Guillén - Patterns, 2021 - cell.com
Bioimage analysis (BIA) has historically helped study how and why cells move; biological
experiments evolved in intimate feedback with the most classical image processing …

A guided tour of selected image processing and analysis methods for fluorescence and electron microscopy

C Kervrann, CÓS Sorzano, ST Acton… - IEEE Journal of …, 2015 - ieeexplore.ieee.org
Microscopy imaging, including fluorescence micro scopy and electron microscopy, has
taken a prominent role in life science research and medicine due to its ability to investigate …

Dynamic spherical harmonics approach for shape classification of migrating cells

A Medyukhina, M Blickensdorf, Z Cseresnyés, N Ruef… - Scientific reports, 2020 - nature.com
Cell migration involves dynamic changes in cell shape. Intricate patterns of cell shape can
be analyzed and classified using advanced shape descriptors, including spherical …

Domain adapted multitask learning for segmenting amoeboid cells in microscopy

S Mukherjee, R Sarkar, M Manich… - … on Medical Imaging, 2022 - ieeexplore.ieee.org
The method proposed in this paper is a robust combination of multi-task learning and
unsupervised domain adaptation for segmenting amoeboid cells in microscopy. A highlight …

Emerging machine learning approaches to phenotyping cellular motility and morphodynamics

HJ Choi, C Wang, X Pan, J Jang, M Cao… - Physical …, 2021 - iopscience.iop.org
Cells respond heterogeneously to molecular and environmental perturbations. Phenotypic
heterogeneity, wherein multiple phenotypes coexist in the same conditions, presents …

3D shape modeling for cell nuclear morphological analysis and classification

AA Kalinin, A Allyn-Feuer, A Ade, GV Fon, W Meixner… - Scientific reports, 2018 - nature.com
Quantitative analysis of morphological changes in a cell nucleus is important for the
understanding of nuclear architecture and its relationship with pathological conditions such …

Cell shape characterization, alignment, and comparison using FlowShape

C van Bavel, W Thiels, R Jelier - Bioinformatics, 2023 - academic.oup.com
Motivation The shape of a cell is tightly controlled, and reflects important processes
including actomyosin activity, adhesion properties, cell differentiation, and polarization …

Versatile multiple object tracking in sparse 2D/3D videos via deformable image registration

J Ryu, A Nejatbakhsh, M Torkashvand… - PLOS Computational …, 2024 - journals.plos.org
Tracking body parts in behaving animals, extracting fluorescence signals from cells
embedded in deforming tissue, and analyzing cell migration patterns during development all …