Name: A Time-lapse, Label-free, Quantitative Phase Imaging Study of Dormant and Active Human Cancer Cells (Video) | JoVE Journal
Uploaded: 2018-02-16T13:00:00.000+00:00
Duration: 12 min 48 s
Description: Learn quantitative phase imaging to characterize angiogenic and non-angiogenic phenotypes of human osteosarcoma cells. This method analyzes morphology, proliferation, and motility simultaneously.

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5 minutes

The authors gratefully acknowledge the support of the Breast Cancer Research Foundation and the Advanced Medical Research Foundation.

All the methods described here have been approved by the Boston Children&#39;s Hospital Institutional Biosafety Committee.
1. Cell Preparation
<ol>
	<li>Thawing KHOS-A and -N cells
	<ol>
		<li>Warm up culture medium, i.e., Dulbecco&#39;s modified Eagle medium supplemented with 10% (vol/vol) fetal calf serum (FBS) and 1% (vol/vol) penicillin/streptomycin.</li>
		<li>Take the cryogenic vials of cells from the liquid nitrogen tank, immerse the bottom of the vials into warm water in a 37 &#176;C water bath, and gently shake the cryogenic vials to accelerate the thawing process. Keep the lid of cryogenic vials from contacting water in order to avoid contamination. As soon as cells are thawed, sterilize the cryogenic vial by spraying 70% ethanol solution and wiping the vial.</li>
		<li>In a laminar flow hood, immediately aspirate the cell suspension from the cryogenic vial, and gently suspend in 10 mL warmed culture medium (described in 1.1.1). Centrifuge cell suspensions at approximately 200 x g for 5 - 7 min.</li>
		<li>Resuspend the cell pellet with 10 mL warmed culture medium, and transfer into a T75 flask. Gently pipette several times to suspend cells evenly using a 10-mL pipet.</li>
		<li>Place the flask into a 37 &#176;C incubator with 5% (vol/vol) CO2 and humidified atmosphere. Allow cells to attach for at least 12 h.</li>
		<li>Incubate cells for approximately 3 - 7 days until 80 - 100% confluent. Change the culture medium every 2 - 3 days.</li>
	</ol>
	</li>
	<li>Splitting KHOS-A and -N cells
	<ol>
		<li>Remove the culture media from the flask.</li>
		<li>Wash the cells with 5 mL sterile PBS (1x) without calcium and magnesium, to remove non adherent cells or fraction.</li>
		<li>Add 1 mL 0.05% Trypsin-EDTA solution into the flask, and briefly swirl the flask to ensure that the trypsin-EDTA is dispersed evenly.</li>
		<li>Incubate the flask for 2 - 3 min in a 37 &#176;C incubator or 3 - 5 min at room temperature. Check the cells under a microscope at approximately 400x&#160;magnification to make sure that the cells are rounded up and detached.</li>
		<li>Once the cells are detached, add 10 mL culture medium and gently pipette the medium up and down several times to break up cell aggregates into a single cell suspension using a 10 mL pipet.</li>
		<li>Count cells using a cell counter. Seed the cell suspension into new T75 flasks at a density of 2 &#215; 106 cells or a ratio of 1:4.</li>
		<li>Allow cells to grow to 80 - 100% confluence before seeding for the QPI experiment.</li>
	</ol>
	</li>
	<li>Seeding KHOS-A and -N cells for QPI
	<ol>
		<li>Seed KHOS-A and -N cells in 6-well plates at the density of 50,000 - 300,000 cells/well with 5 mL culture medium after counting with a cell counter. 
		NOTE: The seeding density is dependent on the cell proliferation rate, and the imaging time period in order to have &#60;100% confluence during imaging acquisition.</li>
		<li>Incubate cells for at least 12 h to allow attachment.</li>
		<li>Change the medium with fresh media before conducting QPI.</li>
	</ol>
	</li>
</ol>
2. QPI Acquisition
<ol>
	<li>Cover slip set up
	<ol>
		<li>Clean the cover slip by rinsing several times with running deionized water and sterilize with 75% ethanol solution by immersion for 15 min. Put the cover slip into a sterile laminar flow hood to dry.</li>
		<li>Carefully place the cover slip onto a 6-well plate to avoid obvious bubbles. Ensure that the bottom of the cover slip is immersed in the culture media (minimum 5 mL/well).</li>
		<li>Place the plate into the incubator (37 &#176;C, 5% CO2, and humidified atmosphere) to equilibrate for at least 15 min. If fog forms on the cover slip, use a sterile cotton swab to wipe it clean.</li>
	</ol>
	</li>
	<li>Imaging cells with a microscope
	<ol>
		<li>Open the software to initialize the system, including self calibration of exposure time, pattern contrast, and hologram noise. Make sure the values are acceptable (shown in green or yellow range).</li>
		<li>Place the 6-well plate onto the stage of the QPI microscope.</li>
		<li>Click &#34;Live Capture,&#34;&#160;and select &#34;Manual&#34; in &#34;Software focus.&#34;&#160;Coarsely focus the phase images of cells by adjusting the work distance in &#34;Microscope setting&#34; to obtain outlines for cells in phase images. Change to &#34;Automatic&#34; in &#34;Software focus.&#34;</li>
		<li>Click &#34;New experiment&#34; to create a new experiment. Start with the selection of image acquisition positions using the mouse or the arrow keys on the numerical pad. Click &#34;Remember&#34; after each selection. Normally 3 - 5 locations for each sample are selected.</li>
		<li>Set up the imaging intervals and time period in the &#34;Timelapse&#34; section. 
		NOTE: To track cancer cells clearly, the intervals should be shorter than 5 min. 48 hours is set as the time period for the combination QPI analysis.</li>
		<li>Start the experiment by clicking &#34;Capture,&#34;&#160;which will automatically focus and acquire the images at the setting time points.</li>
	</ol>
	</li>
</ol>
3. Data Analysis
<ol>
	<li>Cell morphology analysis
	<ol>
		<li>Click &#34;Identify cells.&#34;&#160;Adjust the numeric setting for &#34;Background threshold&#34; so that cell areas are separated well from background noise. Adjust the setting number for &#34;Object size&#34; to make sure that each cell has one nucleus. Maintain consistent parameters for samples that need to be compared, as these may affect the final area and volume measurements. Manually modify cell segments by using &#34;Manual changes,&#34;&#160;if needed.</li>
		<li>Use the &#34;Analyze data&#34; function in the software to analyze cells. Start a new data analysis by clicking &#34;New analysis.&#34;&#160;Drag selected images into the &#34;Source frames&#34; tab and cell morphology parameters including cell area (&#181;m2), optical thickness (&#181;m), and volume (&#181;m3) for every individual cell. Choose scatter plot or histogram mode and export data as tables or figures.</li>
	</ol>
	</li>
	<li>Cell proliferation analysis
	<ol>
		<li>Select at least 5 images for the different time points of interest (e.g., initial, 12 h, 24 h, 36 h, and 48 h). Record cell numbers that are provided by the software.</li>
		<li>To estimate the doubling time, plot cell numbers after normalizing with the initial numbers and fit with exponential growth curves.</li>
	</ol>
	</li>
	<li>Cell motion analysis
	<ol>
		<li>Use the &#34;Track cells&#34; function in the software. Click &#34;New analysis&#34; to start a new data analysis. Drag series of images for a selected time period (e.g., 4 h after 24 h incubation) into the &#34;Source frames&#34; tab. Randomly choose 10 - 30 cells by clicking cells under the &#34;Add cells&#34; selection mode. Exclude the cells at the edges and those moving out of the field of view.</li>
		<li>Carefully check the tracking in the series of images. In the event that the system loses track of a cell or tracks the wrong cell, manually adjust the tracking cell by clicking &#34;Identify&#34; to identify cells or clicking &#34;Modify location&#34; under the &#34;Select&#34; mode to modify the cell location.</li>
		<li>Choose rose plot of cell trajectories in &#34;Plot movement&#34; or plot for the other motion-related parameters in &#34;Plot features,&#34;&#160;such as motility speed (&#181;m/h), motility (&#181;m), migration (&#181;m), and migration directness. Export Data as tables or figures.</li>
	</ol>
	</li>
</ol>

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<li>Guo, P., Huang, J., Moses, M. A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Characterization+of+dormant+and+active+human+cancer+cells+by+quantitative+phase+imaging%5BTitle%5D)+AND+%22Cytometry.+Part+A%3A+The+Journal+of+the+International+Society+for+Advancement+of+Cytometry%22%5BJournal%5D)">Characterization of dormant and active human cancer cells by quantitative phase imaging.</a> Cytometry. Part A: The Journal of the International Society for Advancement of Cytometry. 91 (5), 424-432 (2017).</li>
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<li>Sridharan, S., Macias, V., Tangella, K., Kajdacsy-Balla, A., Popescu, G. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Prediction+of+prostate+cancer+recurrence+using+quantitative+phase+imaging%5BTitle%5D)+AND+%22Scientific+Reports%22%5BJournal%5D)">Prediction of prostate cancer recurrence using quantitative phase imaging.</a> Scientific Reports. 5, 9976(2015).</li>
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</ol>

No conflicts of interest declared.

In this study, we describe an in vitro, non-invasive, and label-free method using QPI to quantitatively characterize the angiogenic and non-angiogenic phenotypes of human osteosarcoma cells. Multiple cellular parameters have been analyzed simultaneously by this integrated, high-throughput method, including cell area, cell thickness, cell volume, proliferation rate, doubling time, migration directness, motility speed, migration, and motility.
Compared with the conventional assays that ...

One of the earliest checkpoints in the development and progression of a solid tumor is the acquisition of the angiogenic phenotype, a hallmark of cancer. This progression involves a variety of biochemical and molecular processes1,2,3. A technical challenge in the study of this key step in tumor progression is the lack of tools to continuously and quantitatively characterize and differentiate between angiogenic and non-angiogenic phenotypes of live cancer cells in an unbiased manner. The traditional assays being used to investigate the cellular behaviors of angiogenic and non-angiogenic cells usually require expensive reagents and instruments, for example, cell proliferation/migration assays4,5,6,7,8,9,10,11,12,13,14 or complementary in vivo evaluations4,5,6,8,15,16, as well as requiring significant expertise and intensive time and labor consumption.
Recently, quantitative phase imaging (QPI) has emerged as a novel technique that enables time-lapse and labeling-free assessment of a variety of cell morphology and behavior parameters17,18,19,20,21,22. Unlike conventional optical microscopy, QPI quantifies variations of phase shift pixel by pixel after light passes through an optical object, and reconstructs a holograph with converted optical thickness and volume, thus enabling the direct analysis of live cells and the following features: (1) quantitative imaging, (2) non-invasive and time-lapse imaging, (3) label-free imaging, and (4) simultaneous multi-parameter imaging. These features make QPI a powerful tool to assess and understand pathological processes at cellular level.
In a recent study, we utilized QPI to quantitatively characterize and differentiate between angiogenic KHOS-A and non-angiogenic KHOS-N phenotypes of human osteosarcoma cells in a systematic and quantitative manner, combining analyses of cell morphology, proliferation, and motility23. Using image analysis software, a panel of cell morphological and behavior parameters were quantitatively compared between angiogenic and non-angiogenic human osteosarcoma cells and five characteristic differences were identified between these two phenotypes. This novel approach provides an integrated and quantitative platform for assessing a variety of biologically relevant cellular characteristics.

<table><tbody><tr><td>T75 flask</td><td>Corning, NY, USA</td><td>353136</td><td></td></tr><tr><td>6-well plates&amp;nbsp;</td><td>Corning, NY, USA</td><td>3506</td><td></td></tr><tr><td>Dulbecco&amp;rsquo;s modified Eagle medium (DMEM)</td><td>Thermo Fisher Scientific, MA, USA</td><td>11965092</td><td></td></tr><tr><td>Fetal bovine serum (FBS)&amp;nbsp;</td><td>Atlanta Biologicals, GA, USA</td><td>S11550</td><td></td></tr><tr><td>Penicillin Streptomycin</td><td>Thermo Fisher Scientific, MA, USA</td><td>15140122</td><td></td></tr><tr><td>Phosphate buffered saline (PBS)</td><td>Thermo Fisher Scientific, MA, USA</td><td>10010023</td><td></td></tr><tr><td>Beckman Z1 Coulter counter</td><td>Beckman Coulter, IN, USA</td><td>Z1&amp;nbsp;</td><td></td></tr><tr><td>HoloMonitor M4</td><td>Phase Holographic Imaging Phi AB, Lund, Sweden</td><td>M4</td><td>Microscope</td></tr><tr><td>Hololid</td><td>Phase Holographic Imaging Phi AB, Lund, Sweden</td><td>PHI 8020</td><td></td></tr><tr><td>HStudioM4</td><td>Phase Holographic Imaging Phi AB, Lund, Sweden</td><td>HStudioM4</td><td>Software</td></tr></tbody></table>

a time-lapse, label-free, quantitative phase imaging study of dormant and active human cancer cells

A Time-lapse, Label-free, Quantitative Phase Imaging Study of Dormant and Active Human Cancer Cells

The acquisition of the angiogenic phenotype is an essential component of the escape from tumor dormancy. Although several classic in vitro assays (e.g., proliferation, migration, and others) and in vivo models have been developed to investigate and characterize angiogenic and non-angiogenic cell phenotypes, these methods are time and labor intensive, and often require expensive reagents and instruments, as well as significant expertise. In a recent study, we used a novel quantitative phase imaging (QPI) technique to conduct time-lapse and labeling-free characterizations of angiogenic and non-angiogenic human osteosarcoma KHOS cells. A panel of cellular parameters, including cell morphology, proliferation, and motility, were quantitatively measured and analyzed using QPI. This novel and quantitative approach provides the opportunity to continuously and non-invasively study relevant cellular processes, behaviors, and characteristics of cancer cells and other cell types in a simple and integrated manner. This report describes our experimental protocol, including cell preparation, QPI acquisition, and data analysis.

Figure 1 depicts a typical cell morphology characterization. Images are presented as holographs (Figure 1A-B) and 2D images (Figure 1C-D). Optical cell thicknesses (calculated from the refractive index and optical path length) are quantified via line profile or a whole cell measurement. Scatter plots of the area and thickness of KHOS-A and KHOS-N cells measured for a...

Dormant and active cancer cell phenotypes were characterized using quantitative phase imaging. Cell proliferation, migration, and morphology assays were integrated and analyzed in one simple method.

The acquisition of the angiogenic phenotype is an essential component of the escape from tumor dormancy. Although several classic in vitro assays (e.g., ...

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Cancer Research

This video demonstrates label-free identification of lymphocyte morphology and biochemistry through 3D quantitative phase imaging. This technique allows for a thorough analysis of lymphocytes, uncovering their internal structures and properties without the need for labeling procedures.

Three-Dimensional Quantitative Phase Imaging for Characterizing Lymphocyte Subtypes

Source: Parker, J. J., et al. A Human Glioblastoma Organotypic Slice Culture Model for Study of Tumor Cell Migration and Patient-specific Effects of Anti-Invasive Drugs. J. Vis. Exp. (2017)This video showcases the imaging of glioblastoma tissue slices expressing green fluorescent protein (GFP) via confocal microscopy. High-resolution images are captured at consistent intervals to track tumor cell movement and direction.

Imaging Tumor Cell Migration in Glioblastoma Tissue Using Time-Lapse Scanning Confocal Microscopy

Time-lapse imaging is used to assess behavior of primary preneoplastic mammary epithelial cells derived from genetically engineered mouse models of breast cancer risk to determine if there are correlations between specific behavioral parameters and distinct genetic lesions.

Time-lapse Imaging of Primary Preneoplastic Mammary Epithelial Cells Derived from Genetically Engineered Mouse Models of Breast Cancer

Here, we describe a method of long-term time-lapse microscopy to longitudinally track single cells in response to anti-cancer therapeutics.

Through the Looking Glass: Time-lapse Microscopy and Longitudinal Tracking of Single Cells to Study Anti-cancer Therapeutics

This protocol describes the use of multiphoton microscopy to perform extended time-lapse imaging of multicellular interactions in real time, in vivo at single cell resolution.

Extended Time-lapse Intravital Imaging of Real-time Multicellular Dynamics in the Tumor Microenvironment

Live-cell imaging provides a wealth of information on single cells or whole populations that is unattainable by fixed cell imaging alone. Here, live-cell imaging protocols to assess cell fate decisions following treatment with the anti-mitotic drug paclitaxel are described.

Long-term Live-cell Imaging to Assess Cell Fate in Response to Paclitaxel

Macrophage phagocytic activity against cancer cells, specifically 4T1 mouse mammary carcinoma cells, was imaged in this study. The live cell coculture model was established and observed using a combination of fluorescent and differential interference contrast microscopy. This assessment was imaged using imaging software to develop multipoint time-lapse video.

Time-Lapse 2D Imaging of Phagocytic Activity in M1 Macrophage-4T1 Mouse Mammary Carcinoma Cells in Co-cultures

Here we present a protocol for studying the rate of programmed cell death initiation by continuously imaging inoculated leaves following cell death induction.

Studying Cell Death Initiation Using a Digital Microscope

Here, we provide a method for live cell imaging analysis that can be used to manually track the lineages of passage 0 keratinocytes and that allows the collection of proliferation metrics, including cell division fate and cell cycle duration.

Live Cell Imaging with Time Lapse Photography to Study Epidermal Keratinocyte Proliferation Kinetics

This protocol presents a multimodal approach combining Raman spectroscopy and tomographic phase microscopy for label-free, non-invasive phenotyping of living human breast cancer cells. It includes a user-friendly, human-bias-free analysis pipeline for rapid, quantitative morpho-chemical analysis, providing detailed molecular and structural insights with applications in cancer research and cell biology.

A Multimodal Imaging Framework to Advance Phenotyping of Living Label-free Breast Cancer Cells

Learn quantitative phase imaging to characterize angiogenic and non-angiogenic phenotypes of human osteosarcoma cells. This method analyzes morphology, proliferation, and motility simultaneously.

A Time-lapse, Label-free, Quantitative Phase Imaging Study of Dormant and Active Human Cancer Cells

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