AUTOMATED CELL MIGRATION TRACKING TECHNIQUE: A REVIEW

2015 ◽  
Vol 75 (2) ◽  
Author(s):  
Aow Yong Li Yew ◽  
Ghazali Sulong
Keyword(s):  
Cell Proliferation ◽  
Cell Migration ◽  
Cell Tracking ◽  
Cell Movement ◽  
Image Frame ◽  
Tracking Tasks ◽  
The Common ◽  
Common Problems ◽  
Status Analysis ◽  
Future Work

Automated cell migration tracking is important in detecting the cell movement in order to help in cell status analysis especially when there are a huge numbers of cells in one image frame. Automated cell tracking processes involve detecting, segmentation and labelling the cell. Each step is crucial and will affect the next step. The common problems are cell proliferation, overlapping and clustering. Consequently, this review not only focuses on the overview of current techniques used to complete the cell migration tracking tasks, but also the comparison of these techniques and some suggested future work(s).

scholarly journals Usiigaci: Instance-aware cell tracking in stain-free phase contrast microscopy enabled by machine learning

2019 ◽  
Author(s):  
Hsieh-Fu Tsai ◽  
Joanna Gajda ◽  
Tyler F.W. Sloan ◽  
Andrei Rares ◽  
Amy Q. Shen
Keyword(s):  
Cell Migration ◽  
Phase Contrast ◽  
Cell Tracking ◽  
Morphological Changes ◽  
Cell Movement ◽  
Cell Segmentation ◽  
Phase Contrast Microscopy ◽  
3T3 Fibroblasts ◽  
Contrast Microscopy ◽  
Migration Analysis

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.

Applying Possessive pronoun in Writing Sentences: Exploring Students’ Ability and Problems in a Mixed Method Study

2019 ◽  
Vol 1 (3) ◽  
pp. 79-83
Author(s):  
Eka Utami Putri ◽  
Syahdan Syahdan
Keyword(s):  
Mixed Method ◽  
Simple Random Sampling ◽  
Average Score ◽  
Mixed Method Study ◽  
Z Score ◽  
Possessive Pronoun ◽  
Efl Students ◽  
The Common ◽  
Common Problems ◽  
Essay Test

The purpose of this research was to find out the students' ability in applying Possessive pronoun in writing sentences and the problems encounter it.  This mixed method study employs an explanatory design to reveals it. 53 students out of 105 students from1st semester EFL students from one reputable University in Pekanbaru, Indonesia, were invited to this study. These 53 students were selected using simple random sampling and enrolled for an essay test and interview to see the students' ability and explaining the problems. The data analysis using SPSS showed that the average score of students was 52.98. Meanwhile for the median is 48, the mode is 20. The score of Standard Deviation is 27.93, Variance is 780.25, and Range is 84.  Z-Score was found 41.5%, which is means higher than average and 58.5% while, students' ability was indicated below the average. It showed that the students were low ability in applying possessive pronoun in writing sentences. The study also found the common problems, i.e., (1) students still mixed up between possessive pronoun and possessive adjectives. (2) students used the wrong pattern in using a possessive pronoun. (3) students did not understand clearly about a possessive pronoun, (4) experiencing difficulties in learning possessive pronoun. 

scholarly journals Study of LBHD1 Expression with Invasion and Migration of Bladder Cancer

2019 ◽  
Vol 14 (1) ◽  
pp. 440-447
Author(s):  
Chunhui Dong ◽  
Yihui Liu ◽  
Guiping Yu ◽  
Xu Li ◽  
Ling Chen
Keyword(s):  
Cell Proliferation ◽  
Bladder Cancer ◽  
Cell Migration ◽  
Cancer Cells ◽  
Tumor Antigens ◽  
Urinary Bladder Cancer ◽  
Migration And Invasion ◽  
Cell Migration And Invasion ◽  
Invasion And Migration ◽  
Bladder Cancer Cells

AbstractLBHD1 (C11ORF48) is one of the ten potential tumor antigens identified by immunoscreening the urinary bladder cancer cDNA library in our previous study. We suspect that its expression is associated with human bladder cancer. However, the exact correlation remains unclear. To address the potential functional relationship between LBHD1 and bladder cancer, we examined the LBHD1 expression at the mRNA and protein level in 5 different bladder cancer cell lines: J82, T24, 253J, 5637, and BLZ-211. LBHD1 high and low expressing cells were used to investigate the migration, invasion, and proliferation of bladder cancer cells following transfection of LBHD1 with siRNA and plasmids, respectively. Our experiment showed that the degree of gene expression was positively related to the migration and invasion of the cancer cells while it had little effect on cell proliferation. Knocking down LBHD1 expression with LBHD1 siRNA significantly attenuated cell migration and invasion in cultured bladder cancer cells, and overexpressing LBHD1 with LBHD1 cDNA plasmids exacerbated cell migration and invasion. Nevertheless, a difference in cell proliferation after transfection of LBHD1 siRNA and LBHD1 cDNA plasmids was not found. Our findings suggest that LBHD1 might play a role in cell migration and invasion.

scholarly journals MiR-188-3p and miR-133b Suppress Cell Proliferation in Human Hepatocellular Carcinoma via Post-Transcriptional Suppression of NDRG1

2021 ◽  
Vol 20 ◽  
pp. 153303382110330
Author(s):  
Zhenzhao Luo ◽  
Yue Fan ◽  
Xianchang Liu ◽  
Shuiyi Liu ◽  
Xiaoyu Kong ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cell Proliferation ◽  
Cell Migration ◽  
Cell Growth ◽  
Suppressive Effect ◽  
Luciferase Reporter ◽  
Invasion And Migration ◽  
And Migration ◽  
Cancer Tissues ◽  
Suppress Cell Proliferation

Background: Previous studies reported that N-myc downstream-regulated gene 1 (NDRG1) was upregulated in various cancer tissues and decreased expression of miR-188-3p and miR-133b could suppress cell proliferation, metastasis, and invasion and induce apoptosis of cancer cells. However, the molecular mechanism of NRDG1 involved in hepatocellular carcinoma (HCC) tumorigenesis is still unknown. Methods: The expressions of miR-188-3p, miR-133b, and NRDG1 in HCC tissues and cells were quantified by qRT-PCR and Western blot. MTT assay and transwell invasion assay were performed to evaluate cell growth and cell migration, respectively. Luciferase reporter assay were performed to determine whether miR-188-3p and miR-133b could directly bind to NRDG1 in HCC cells. Results: The results showed that NRDG1 was upregulated and these 2 microRNAs were downregulated in HCC tissues. NRDG1 was negatively correlated with miR-188-3p and miR-133b in HCC tissues. MiR-188-3p and miR-133b were demonstrated to directly bind to 3′UTR of NRDG1 and inhibit its expression. Upregulation of miR-188-3p and miR-133b reduced NRDG1 expression in hepatocellular carcinoma cell lines, which consequently inhibited cell growth and cell migration. Conclusions: Our finding suggested that miR-188-3p and miR-133b exert a suppressive effect on hepatocellular carcinoma proliferation, invasion, and migration through downregulation of NDRG1.

scholarly journals Common issues in the hetero-epitaxial seeding on SiC substrates in the sublimation growth of AlN crystals

2021 ◽  
Vol 127 (8) ◽  
Author(s):  
R. Radhakrishnan Sumathi
Keyword(s):  
Power Electronic ◽  
Etch Pit ◽  
Micro Hole ◽  
Wet Chemical ◽  
The Common ◽  
Common Problems ◽  
Hole Defects ◽  
Sublimation Growth ◽  
Impurity Elements ◽  
Very High

AbstractAluminium nitride (AlN) is a futuristic material for efficient next-generation high-power electronic and optoelectronic applications. Sublimation growth of AlN single crystals with hetero-epitaxial approach using silicon carbide substrates is one of the two prominent approaches emerged, since the pioneering crystal growth work from 1970s. Many groups working on this hetero-epitaxial seeding have abandoned AlN growth altogether due to lot of persistently encountered problems. In this article, we focus on most of the common problems encountered in this process such as macro- and micro-hole defects, cracks, 3D-nucleation, high dislocation density, and incorporation of unintentional impurity elements due to chemical decomposition of the substrate at very high temperatures. Possible ways to successfully solve some of these issues have been discussed. Other few remaining challenges, namely low-angle grain boundaries and deep UV optical absorption, are also presented in the later part of this work. Particular attention has been devoted in this work on the coloration of the crystals with respect to chemical composition. Wet chemical etching gives etch pit density (EPD) values in the order of 105 cm-2 for yellow-coloured samples, while greenish coloration deteriorates the structural properties with EPD values of at least one order more.

scholarly journals DPP3/CDK1 contributes to the progression of colorectal cancer through regulating cell proliferation, cell apoptosis, and cell migration

2021 ◽  
Vol 12 (6) ◽  
Author(s):  
Yixin Tong ◽  
Yuan Huang ◽  
Yuchao Zhang ◽  
Xiangtai Zeng ◽  
Mei Yan ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cell Proliferation ◽  
Cell Migration ◽  
Cell Apoptosis ◽  
Downstream Target ◽  
Normal Tissues ◽  
Physiological Processes ◽  
Mutual Regulation

AbstractAt present, colorectal cancer (CRC) has become a serious threat to human health in the world. Dipeptidyl peptidase 3 (DPP3) is a zinc-dependent hydrolase that may be involved in several physiological processes. However, whether DPP3 affects the development and progression of CRC remains a mystery. This study is the first to demonstrate the role of DPP3 in CRC. Firstly, the results of immunohistochemistry analysis showed the upregulation of DPP3 in CRC tissues compared with normal tissues, which is statistically analyzed to be positively correlated with lymphatic metastasis, pathological stage, positive number of lymph nodes. Moreover, the high expression of DPP3 predicts poor prognosis in CRC patients. In addition, the results of cell dysfunction experiments clarified that the downregulation of DPP3 significantly inhibited cell proliferation, colony formation, cell migration, and promoted apoptosis in vitro. DPP3 depletion could induce cell apoptosis by upregulating the expression of BID, BIM, Caspase3, Caspase8, HSP60, p21, p27, p53, and SMAC. In addition, downregulation of DPP3 can reduce tumorigenicity of CRC cells in vivo. Furthermore, CDK1 is determined to be a downstream target of DPP3-mediated regulation of CRC by RNA-seq, qPCR, and WB. The interaction between DPP3 and CDK1 shows mutual regulation. Specifically, downregulation of DPP3 can accentuate the effects of CDK1 knockdown on the function of CRC cells. Overexpression of CDK1 alleviates the inhibitory effects of DPP3 knockdown in CRC cells. In summary, DPP3 has oncogene-like functions in the development and progression of CRC by targeting CDK1, which may be an effective molecular target for the prognosis and treatment of CRC.

scholarly journals Data-driven modeling reveals cell behaviors controlling self-organization during Myxococcus xanthus development

2017 ◽  
Vol 114 (23) ◽  
pp. E4592-E4601 ◽  
Author(s):  
Christopher R. Cotter ◽  
Heinz-Bernd Schüttler ◽  
Oleg A. Igoshin ◽  
Lawrence J. Shimkets
Keyword(s):  
Cell Tracking ◽  
Myxococcus Xanthus ◽  
Cell Movement ◽  
Modeling Method ◽  
Data Driven ◽  
Self Organization ◽  
Emergent Properties ◽  
Developmental Cycle ◽  
Fluorescent Cell ◽  
Cell Behaviors

Collective cell movement is critical to the emergent properties of many multicellular systems, including microbial self-organization in biofilms, embryogenesis, wound healing, and cancer metastasis. However, even the best-studied systems lack a complete picture of how diverse physical and chemical cues act upon individual cells to ensure coordinated multicellular behavior. Known for its social developmental cycle, the bacterium Myxococcus xanthus uses coordinated movement to generate three-dimensional aggregates called fruiting bodies. Despite extensive progress in identifying genes controlling fruiting body development, cell behaviors and cell–cell communication mechanisms that mediate aggregation are largely unknown. We developed an approach to examine emergent behaviors that couples fluorescent cell tracking with data-driven models. A unique feature of this approach is the ability to identify cell behaviors affecting the observed aggregation dynamics without full knowledge of the underlying biological mechanisms. The fluorescent cell tracking revealed large deviations in the behavior of individual cells. Our modeling method indicated that decreased cell motility inside the aggregates, a biased walk toward aggregate centroids, and alignment among neighboring cells in a radial direction to the nearest aggregate are behaviors that enhance aggregation dynamics. Our modeling method also revealed that aggregation is generally robust to perturbations in these behaviors and identified possible compensatory mechanisms. The resulting approach of directly combining behavior quantification with data-driven simulations can be applied to more complex systems of collective cell movement without prior knowledge of the cellular machinery and behavioral cues.

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