Automatic cell tracking applied to analysis of cell migration in wound healing assay

Bise, Ryoma; Kanade, Takeo; Yin, Zhaozheng; Huh, Seungil

doi:10.1109/iembs.2011.6091525

Cited by 25 publications

(18 citation statements)

References 14 publications

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“…To overcome this limitation, we counted the individual number of cells in the middle of the wound area (Figure 6F and G). Since these cells are not at the edge of the scratch, it is more likely that they have actively migrated and are not merely a result of proliferation 8 . No significant difference was seen between HepG2 or LX2-cells within the wound area of HepG2-LX2 co-cultures after 24 hours (Figure9F).…”

Section: Resultsmentioning

confidence: 99%

Inhibiting endoplasmic reticulum stress decreases tumor burden in a mouse model for hepatocellular carcinoma

Pavlović

Calitz

Thanapirom

et al. 2019

Preprint

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Hepatocellular carcinoma (HCC) is a liver tumor that arises in patients with cirrhosis. Hepatic stellate cells are key players in the progression of HCC, as they create a fibrotic micro-environment and produce growth factors and cytokines that enhance tumor cell proliferation and migration. We assessed the role of endoplasmic reticulum (ER) stress in the cross-talk between stellate cells and HCC-cells. Mice with a fibrotic HCC were treated with the IRE1α-inhibitor 4μ8C, which reduced tumor burden and collagen deposition. By co-culturing HCC-cells with stellate cells, we found that HCC-cells induce ER-stress in stellate cells, thereby contributing to their activation. Inhibiting IRE1α blocked stellate cell activation, which inhibited tumor cell proliferation and migration in different in vitro 2D and 3D co-cultures. Our results suggest that IRE1α is an important mediator in the communication between stellate cells and cancer cells and components of the ER-stress pathway may be therapeutically relevant for HCC-patients.Impact statementIRE1α is an important mediator in the communication between stellate cells and cancer cells and components of the ER-stress pathway may be therapeutically relevant for liver cancer.

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Section: Resultsmentioning

confidence: 99%

Inhibiting endoplasmic reticulum stress decreases tumor burden in a mouse model for hepatocellular carcinoma

Pavlović

Calitz

Thanapirom

et al. 2019

Preprint

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“…To reveal the effect of the combination of polyphenols (PHC) on mouse macrophage migration, we followed the in vitro "scratch" wound-healing model previously described by Tamura [18,19]. Briefly, in vitro "scratch" wounds were created by scraping confluent cell A C C E P T E D M A N U S C R I P T…”

Section: Cell Migrationmentioning

confidence: 99%

Combination of spices and herbal extract restores macrophage foam cell migration and abrogates the athero-inflammatory signalling cascade of atherogenesis

Nimgulkar

Ghosh

Sankar

et al. 2015

Vascular Pharmacology

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“…cells or their nuclei are important tasks for further understanding of cellular processes. Time-lapse fluorescence microscopy (TLFM) is one of the most appreciated imaging techniques which can be used to quantify various characteristics of cellular processes, such as cell survival 1 , proliferation 2 , migration 3 , and differentiation 4 . The quantification of these processes plays a significant role in studying embryogenesis, cancer cells, stem cells, and other applications in the fields of molecular and developmental biology.…”

Section: Introductionmentioning

confidence: 99%

A novel generic dictionary-based denoising method for improving noisy and densely packed nuclei segmentation in 3D time-lapse fluorescence microscopy images

Nasser

Boudier

2018

Preprint

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Time-lapse fluorescence microscopy is an essential technique for quantifying various characteristics of cellular processes, i.e. cell survival, migration, and differentiation. To perform high-throughput quantification of cellular processes, nuclei segmentation and tracking should be performed in an automated manner. Nevertheless, nuclei segmentation and tracking are challenging tasks due to embedded noise, intensity inhomogeneity, shape variation as well as a weak boundary of nuclei. Several nuclei segmentation approaches have been reported in the literature. However, most of them require fine-tuning of many parameters. Furthermore, they can only be applied to particular models or acquisition systems. As a result, there is a crucial need for a generic method to segment noisy and densely packed nuclei in microscopy images. In this paper, we present a sparse representation method for denoising of microscopy images. The proposed method works properly in the context of most challenging cases. In addition, it provides a denoised image and simultaneously the potential locations of nuclei. To evaluate the performance of the proposed method, we tested our method on two datasets from cell tracking challenge. Across all datasets, the proposed method achieved satisfactory results with 96.96% recall for C.elegans dataset. Besides, in Drosophila dataset, our method achieved very high recall (99.3%).

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Automatic cell tracking applied to analysis of cell migration in wound healing assay

Cited by 25 publications

References 14 publications

Inhibiting endoplasmic reticulum stress decreases tumor burden in a mouse model for hepatocellular carcinoma

Inhibiting endoplasmic reticulum stress decreases tumor burden in a mouse model for hepatocellular carcinoma

Combination of spices and herbal extract restores macrophage foam cell migration and abrogates the athero-inflammatory signalling cascade of atherogenesis

A novel generic dictionary-based denoising method for improving noisy and densely packed nuclei segmentation in 3D time-lapse fluorescence microscopy images

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