Method Article

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

DOI:

10.3791/56580

February 23rd, 2018

In This Article

Summary

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Lens-free video microscopy enables us to monitor cell cultures directly inside the incubator. Here we describe the full protocol used to acquire and analyze a 2.7 day long acquisition of cultured HeLa cells, leading to a dataset of 2.2 x 106 measurements of individual cell morphology and 10584 cell cycle tracks.

Abstract

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Here, we demonstrate that lens-free video microscopy enables us to simultaneously capture the kinetics of thousands of cells directly inside the incubator and that it is possible to monitor and quantify single cells along several cell cycles. We describe the full protocol used to monitor and quantify a HeLa cell culture for 2.7 days. First, cell culture acquisition is performed with a lens-free video microscope, and then the data is analyzed following a four-step process: multi-wavelength holographic reconstruction, cell-tracking, cell segmentation and cell division detection algorithms. As a result, we show that it is possible to gather a dataset featuring more than 10,000 cell cycle tracks and more than 2 x 106 cell morphological measurements.

Introduction

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Monitoring cultured mammalian cells throughout several cell cycles and measuring accurately cell size and cell dry mass is a challenging task. Several label-free optical techniques are able to perform this task1,2: phase-shifting interferometry3, digital holographic microscopy (DHM)4,5,6,7, quadriwave lateral shearing interferometry8,9 and quantitative phase tomography10,

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Protocol

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1. Cell Culture Monitoring Acquisition

  1. Grow HeLa cells in DMEM + glutamine (e.g., GlutaMAX) medium supplemented with 10% (v/v) heat-inactivated fetal calf serum and 1% penicillin and streptomycin.
  2. Coat 6-well glass bottom culture plates with fibronectin (25 µg/mL) for 1 h. Then seed 2 x 104 cells per well.
  3. During the acquisition, change the medium every 3 days.
  4. For the time-lapse acquisition, use the video lens-free microscope (commercially available).
    NOTE: This is based on the lens-free computational imaging technique as described by Ozcan et al.16 which was modified ....

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Results

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For the holographic reconstruction process, the light field is described by a scalar field A (where Electrodynamics formula, vector potential component \( A_z^\lambda(\vec{r}) \), physics equation. is the complex value of A on the plane at distance z from the sample, and lateral position

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Discussion

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In this paper, we show that lens-free video microscopy can be used inside an incubator to capture the kinetics of thousands of cells. In order to describe the overall methodology we explained how a 2.7 day time-lapse acquisition of HeLa cells in culture can be analyzed with standard cell-tracking algorithms. The result is a dataset featuring 2.2 x 106 cell measurements and 10,584 cell cycle tracks. The acquisitions were performed on a culture of Hela cells with a relatively large cell-to-cell distance (cell de.......

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Disclosures

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The authors have nothing to disclose.

Acknowledgements

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The authors have nothing to acknowledge.

....

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
Cytonote lens-free video microscope Iprasense
Horus acquisition softwareIprasense
6-well glass bottom culture platesMatTek corporationPart No: P06G-0-14-F 
DMEM + GlutaMAX medium Gibco
heat-inactivated fetal calf serum Eurobio
penicillin and streptomycin Gibco
Fibronectin Sigma Aldrich
Matlab, image processing toolbox Mathworks

References

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  1. Zangle, T. A., Teitell, M. A. Live-cell mass profiling: an emerging approach in quantitative biophysics. Nat Methods. 11 (12), 1221-1228 (2014).
  2. Popescu, G., Park, K., Mir, M., Bashir, R. New technologies for measuring single cell mass. Lab Chip. 14 (4), 646-652 (2014).....

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Tags

Holographic ReconstructionCell TrackingCell SegmentationCell Division DetectionTime lapse AcquisitionHeLa Cell AnalysisMulti wavelength IlluminationTrackMate Algorithm

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