scholarly journals Quantitative Analysis of Melanocyte Migrationin vitroBased on Automated Cell Tracking under Phase Contrast Microscopy Considering the Combined Influence of Cell Division and Cell-Matrix Interactions

2010 ◽  
Vol 5 (1) ◽  
pp. 4-33 ◽  
Author(s):  
V. Letort ◽  
S. Fouliard ◽  
G. Letort ◽  
I. Adanja ◽  
M. Kumasaka ◽  
...  
SoftwareX ◽  
2019 ◽  
Vol 9 ◽  
pp. 230-237 ◽  
Author(s):  
Hsieh-Fu Tsai ◽  
Joanna Gajda ◽  
Tyler F.W. Sloan ◽  
Andrei Rares ◽  
Amy Q. Shen

1963 ◽  
Vol 17 (1) ◽  
pp. 123-152 ◽  
Author(s):  
C. F. Robinow

The paper describes the forward streaming, growth, and division of the vegetative cell of Basidiobolus ranarum. The cell is several hundred microns long and has a single large nucleus. Mitosis is invariably followed by cell division. Both processes have been studied in the living cell by ordinary and phase contrast microscopy. Mitosis is accompanied by a temporary coarsening of the organisation of the cytoplasm and a considerable slowing down of the rate of growth of the cell wall tube. Fixed and stained preparations have shown that there is a large number of small chromosomes and that the mitotic spindle is formed from the nucleolus. Basidiobolus appears suitable for observations on the cell duplication cycle and the physiology of mitosis.


2019 ◽  
Author(s):  
Hsieh-Fu Tsai ◽  
Joanna Gajda ◽  
Tyler F.W. Sloan ◽  
Andrei Rares ◽  
Amy Q. Shen

AbstractStain-free, single-cell segmentation and tracking is tantamount to the holy grail of microscopic cell migration analysis. Phase contrast microscopy (PCM) images with cells at high density are notoriously difficult to segment accurately; thus, manual segmentation remains the de facto standard practice. In this work, we introduce Usiigaci, an all-in-one, semi-automated pipeline to segment, track, and visualize cell movement and morphological changes in PCM. Stain-free, instance-aware segmentation is accomplished using a mask regional convolutional neural network (Mask R-CNN). A Trackpy-based cell tracker with a graphical user interface is developed for cell tracking and data verification. The performance of Usiigaci is validated with electrotaxis of NIH/3T3 fibroblasts. Usiigaci provides highly accurate cell movement and morphological information for quantitative cell migration analysis.


Author(s):  
Marc Lenburg ◽  
Rulang Jiang ◽  
Lengya Cheng ◽  
Laura Grabel

We are interested in defining the cell-cell and cell-matrix interactions that help direct the differentiation of extraembryonic endoderm in the peri-implantation mouse embryo. At the blastocyst stage the mouse embryo consists of an outer layer of trophectoderm surrounding the fluid-filled blastocoel cavity and an eccentrically located inner cell mass. On the free surface of the inner cell mass, facing the blastocoel cavity, a layer of primitive endoderm forms. Primitive endoderm then generates two distinct cell types; parietal endoderm (PE) which migrates along the inner surface of the trophectoderm and secretes large amounts of basement membrane components as well as tissue-type plasminogen activator (tPA), and visceral endoderm (VE), a columnar epithelial layer characterized by tight junctions, microvilli, and the synthesis and secretion of α-fetoprotein. As these events occur after implantation, we have turned to the F9 teratocarcinoma system as an in vitro model for examining the differentiation of these cell types. When F9 cells are treated in monolayer with retinoic acid plus cyclic-AMP, they differentiate into PE. In contrast, when F9 cells are treated in suspension with retinoic acid, they form embryoid bodies (EBs) which consist of an outer layer of VE and an inner core of undifferentiated stem cells. In addition, we have established that when VE containing embryoid bodies are plated on a fibronectin coated substrate, PE migrates onto the matrix and this interaction is inhibited by RGDS as well as antibodies directed against the β1 integrin subunit. This transition is accompanied by a significant increase in the level of tPA in the PE cells. Thus, the outgrowth system provides a spatially appropriate model for studying the differentiation and migration of PE from a VE precursor.


1997 ◽  
Vol 27 (1) ◽  
pp. 22-27
Author(s):  
K. GOLDRING ◽  
J. A. WARNER

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