Incubator proof miniaturized Holomonitor to<i>in situ</i>monitor cancer cells exposed to green tea polyphenol and preosteoblast cells adhering on nanostructured titanate surfaces: validity of the measured parameters and their corrections

Péter, Beatrix; Nádor, Judit; Juhász, Krisztina; Dobos, Agnes; Kőrösi, László; Székács, Inna; Patko, Daniel; Horváth, Róbert

doi:10.1117/1.jbo.20.6.067002

Cited by 28 publications

(42 citation statements)

References 20 publications

(33 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Typically, some further restrictions are placed on the culture chambers used, as normal cell culture at these time scales requires regular change of the cell culture medium. Consequently, long term studies have used various kinds of perfusion chambers to be able to replace the medium without disturbing the imaging view [30,32,39,43,49,55,61]. Several studies have also used larger culture chambers with large enough volume to avoid changing the medium entirely, such as by using a T25 cell culture flask (Table 1).…”

Section: Choice Of Cell Culture and Imaging Vesselmentioning

confidence: 99%

“…By segmentation of cellular outlines, morphology and motility can also be studied [7,50,51,57,80]. Furthermore, differences in cell types can be detected if they display distinctly different morphologies or migration patterns in response to cytotoxic drugs [30,81,82].…”

Section: Principles Of Qpimentioning

confidence: 99%

“…Important to note is that the different setups come with slightly different benefits and limitations, making them inherently well suited to a variety of purposes: High speed acquisition for high temporal resolution of flow imaging [70], in situ imaging of growing adherent cells [21,37,56], live cell tomography [71,72], or incubator monitoring [30,73].…”

Section: Technologymentioning

confidence: 99%

See 2 more Smart Citations

Quantitative Phase Imaging for Label-Free Analysis of Cancer Cells—Focus on Digital Holographic Microscopy

2018

View full text Add to dashboard Cite

Abstract:To understand complex biological processes, scientists must gain insight into the function of individual living cells. In contrast to the imaging of fixed cells, where a single snapshot of the cell's life is retrieved, live-cell imaging allows investigation of the dynamic processes underlying the function and morphology of cells. Label-free imaging of living cells is advantageous since it is used without fluorescent probes and maintains an appropriate environment for cellular behavior, otherwise leading to phototoxicity and photo bleaching. Quantitative phase imaging (QPI) is an ideal method for studying live cell dynamics by providing data from noninvasive monitoring over arbitrary time scales. The effect of drugs on migration, proliferation, and apoptosis of cancer cells are emerging fields suitable for QPI analysis. In this review, we provide a current insight into QPI applied to cancer research.

show abstract

Section: Choice Of Cell Culture and Imaging Vesselmentioning

confidence: 99%

Section: Principles Of Qpimentioning

confidence: 99%

Section: Technologymentioning

confidence: 99%

See 1 more Smart Citation

Quantitative Phase Imaging for Label-Free Analysis of Cancer Cells—Focus on Digital Holographic Microscopy

2018

View full text Add to dashboard Cite

show abstract

“…The basic technical set-up for DHM is relatively simple as compared to fluorescent microscopy and is consequently a more affordable option for phenotypic profiling. The system used in this study, the HoloMonitor M4, can be assembled inside a standard mammalian tissue culture incubator 38 , 45 . DHM is inherently label-free and non-cytotoxic, allowing for long-term imaging of cell populations and tracking of individual cells within a population.…”

Section: Discussionmentioning

confidence: 99%

High accuracy label-free classification of kinetic cell states from holographic cytometry

Hejna

Jorapur

Song

et al. 2017

Preprint

View full text Add to dashboard Cite

Abstract:Digital holographic microscopy permits live and label-free visualization of adherent cells. Here we report the application of this approach for high accuracy kinetic quantitative cytometry. We identify twenty-six label-free optical and morphological features that are biologically independent. When used as a basis for machine learning, these features allow blind single cell classification with up to 95% accuracy. We present methods to control for inherent holographic noise, thereby establishing a set of reliable quantitative features. Together, these contributions permit continuous digital holographic cytometry for three or more days. Applying our approach to human melanoma cells treated with a panel of cancer therapeutics, we can track the response of each cell, simultaneously classifying multiple behaviors such as cell cycle length, motility, apoptosis, senescence, and heterogeneity of response to each therapeutic. Importantly, we demonstrate relationships between these phenotypes over time. This work thus provides an experimental and computational roadmap for low cost live-cell imaging and kinetic classification of heterogeneous adherent cell populations. Introduction:

show abstract

“…Holographic (transmission) microscopy is a high-resolution imaging technique that provides label-free and non-invasive, non-phototoxic and non-destructive method for real-time live cell culture analysis [76]. This type of microscopy allows for quantitative and qualitative measurements of living cells (not only cultures of mammalian cells, but also protozoan, bacterial and plant cells) and collecting information about cell surface area, cell viability and morphological changes, such as differentiation, proliferation, motility, cell death, confluence or cell segmentation (calculated from a particular hologram) [77][78][79][80]. Traditional brightfield microscopy has some limitations, such as difficulties in visualising individual cells due to their low contrast properties, whereas DH microscopy provides possibility to determine cell number directly in cell culture vessels [81].…”

Section: Digital Holography (Dh) Microscopymentioning

confidence: 99%

General Cytotoxicity and Its Application in Nanomaterial Analysis

Jędrzejczak-Silicka¹,

Mijowska²

2018

Cytotoxicity

View full text Add to dashboard Cite

The recent increasing interest in the use of different nanoparticles in biological and medical applications encouraged scientists to analyse their potential impact on biological systems. The biocompatibility analyses of novel materials for medical applications are conducted using quantitative and qualitative techniques collected by the International Standards Organization (ISO). The well-known assays, such as tetrazolium-based assays used for mitochondrial function monitoring, LDH for membrane permeability determination and neutral red uptake (NRU) describing lysosome function, need to be optimised due to specific properties of wide range of nanomaterials. Physicochemical properties of nanoparticles (NPs) such as size, composition, concentration, shape and surface (e.g., charge, coating, aspect ratio), as well as the cell type play a crucial role in determining the nanomaterial toxicity (also uptake pathway(s) of NPs). Different nanomaterials exhibit different cytotoxicity from relatively non-toxic hexagonal boron nitride to rutile TiO 2 NPs that induce oxidative DNA damage in the absence of UV light. Finally, the results of the nanomedical analysis can be enriched by holographic microscopy that gives valuable information about the doubling time (DT), cell segmentation, track cell movement and changes in cell morphology. The results can be also completed by phenotype microarrays (PMs) and atomic force microscopy (AFM) techniques that fulfil experimental data.

show abstract

Incubator proof miniaturized Holomonitor toin situmonitor cancer cells exposed to green tea polyphenol and preosteoblast cells adhering on nanostructured titanate surfaces: validity of the measured parameters and their corrections

Cited by 28 publications

References 20 publications

Quantitative Phase Imaging for Label-Free Analysis of Cancer Cells—Focus on Digital Holographic Microscopy

Quantitative Phase Imaging for Label-Free Analysis of Cancer Cells—Focus on Digital Holographic Microscopy

High accuracy label-free classification of kinetic cell states from holographic cytometry

General Cytotoxicity and Its Application in Nanomaterial Analysis

Contact Info

Product

Resources

About