Software tools for single-cell tracking and quantification of cellular and molecular properties

2016 ◽  
Vol 34 (7) ◽  
pp. 703-706 ◽  
Author(s):  
Oliver Hilsenbeck ◽  
Michael Schwarzfischer ◽  
Stavroula Skylaki ◽  
Bernhard Schauberger ◽  
Philipp S Hoppe ◽  
...  
Keyword(s):  
Single Cell ◽  
Cell Tracking ◽  
Software Tools ◽  
Molecular Properties

scholarly journals Optical and genetic tools for in vivo single cell tracking

2021 ◽  
Vol 358 ◽  
pp. 109192
Author(s):  
Yajie Liang ◽  
Liset M. de la Prida
Keyword(s):  
Single Cell ◽  
Cell Tracking ◽  
Genetic Tools

scholarly journals Single cell tracking based on Voronoi partition via stable matching

2020 ◽  
Author(s):  
Young Hwan Chang ◽  
Jeremy Linsley ◽  
Josh Lamstein ◽  
Jaslin Kalra ◽  
Irina Epstein ◽  
...  
Keyword(s):  
Single Cell ◽  
Cell Tracking ◽  
Stable Matching ◽  
Voronoi Partition

scholarly journals Live-cell time-lapse imaging and single-cell tracking of in vitro cultured neural stem cells – Tools for analyzing dynamics of cell cycle, migration, and lineage selection

Methods ◽  
2018 ◽  
Vol 133 ◽  
pp. 81-90 ◽  
Author(s):  
Katja M. Piltti ◽  
Brian J. Cummings ◽  
Krystal Carta ◽  
Ayla Manughian-Peter ◽  
Colleen L. Worne ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Stem Cells ◽  
Neural Stem Cells ◽  
Single Cell ◽  
Cell Tracking ◽  
Time Lapse ◽  
Live Cell ◽  
Time Lapse Imaging

On the symmetry of siblings: automated single-cell tracking to quantify the behavior of hematopoietic stem cells in a biomimetic setup

2012 ◽  
Vol 40 (2) ◽  
pp. 119-130.e9 ◽  
Author(s):  
Nico Scherf ◽  
Katja Franke ◽  
Ingmar Glauche ◽  
Ina Kurth ◽  
Martin Bornhäuser ◽  
...  
Keyword(s):  
Stem Cells ◽  
Hematopoietic Stem Cells ◽  
Single Cell ◽  
Cell Tracking ◽  
Hematopoietic Stem

A detailed study of gold-nanoparticle loaded cells using X-ray based techniques for cell-tracking applications with single-cell sensitivity

Nanoscale ◽  
2013 ◽  
Vol 5 (8) ◽  
pp. 3337 ◽  
Author(s):  
Alberto Astolfo ◽  
Fulvia Arfelli ◽  
Elisabeth Schültke ◽  
Simon James ◽  
Lucia Mancini ◽  
...  
Keyword(s):  
Single Cell ◽  
Gold Nanoparticle ◽  
Cell Tracking ◽  
Cell Sensitivity ◽  
X Ray

scholarly journals Single-cell tracking with a reversing flow cytometer

2010 ◽  
Vol 79A (1) ◽  
pp. 66-76 ◽  
Author(s):  
Greg Sitton ◽  
Friedrich Srienc
Keyword(s):  
Single Cell ◽  
Cell Tracking ◽  
Flow Cytometer

scholarly journals Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations

10.3791/56291 ◽  
2017 ◽  
Author(s):  
Rosa Gómez-Villafuertes ◽  
Lucía Paniagua-Herranz ◽  
Sergio Gascon ◽  
David de Agustín-Durán ◽  
María de la O Ferreras ◽  
...  
Keyword(s):  
Single Cell ◽  
Cell Biology ◽  
Cell Tracking ◽  
Live Imaging ◽  
Neural Populations

scholarly journals Single-cell analysis of circadian dynamics in tissue explants

2015 ◽  
Vol 26 (22) ◽  
pp. 3940-3945 ◽  
Author(s):  
Laura Lande-Diner ◽  
Jacob Stewart-Ornstein ◽  
Charles J. Weitz ◽  
Galit Lahav
Keyword(s):  
Circadian Clock ◽  
Single Cell ◽  
Cell Tracking ◽  
Single Cell Analysis ◽  
Single Cells ◽  
Tissue Imaging ◽  
Wide Field ◽  
Isolated Cells ◽  
Peripheral Tissues

Tracking molecular dynamics in single cells in vivo is instrumental to understanding how cells act and interact in tissues. Current tissue imaging approaches focus on short-term observation and typically nonendogenous or implanted samples. Here we develop an experimental and computational setup that allows for single-cell tracking of a transcriptional reporter over a period of >1 wk in the context of an intact tissue. We focus on the peripheral circadian clock as a model system and measure the circadian signaling of hundreds of cells from two tissues. The circadian clock is an autonomous oscillator whose behavior is well described in isolated cells, but in situ analysis of circadian signaling in single cells of peripheral tissues is as-yet uncharacterized. Our approach allowed us to investigate the oscillatory properties of individual clocks, determine how these properties are maintained among different cells, and assess how they compare to the population rhythm. These experiments, using a wide-field microscope, a previously generated reporter mouse, and custom software to track cells over days, suggest how many signaling pathways might be quantitatively characterized in explant models.

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