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Label-free, high-throughput measurements of dynamic changes in cell nuclei using angle-resolved low coherence interferometry.

Publication ,  Journal Article
Chalut, KJ; Chen, S; Finan, JD; Giacomelli, MG; Guilak, F; Leong, KW; Wax, A
Published in: Biophysical journal
June 2008

Accurate measurements of nuclear deformation, i.e., structural changes of the nucleus in response to environmental stimuli, are important for signal transduction studies. Traditionally, these measurements require labeling and imaging, and then nuclear measurement using image analysis. This approach is time-consuming, invasive, and unavoidably perturbs cellular systems. Light scattering, an emerging biophotonics technique for probing physical characteristics of living systems, offers a promising alternative. Angle-resolved low-coherence interferometry (a/LCI), a novel light scattering technique, was developed to quantify nuclear morphology for early cancer detection. In this study, a/LCI is used for the first time to noninvasively measure small changes in nuclear morphology in response to environmental stimuli. With this new application, we broaden the potential uses of a/LCI by demonstrating high-throughput measurements and by probing aspherical nuclei. To demonstrate the versatility of this approach, two distinct models relevant to current investigations in cell and tissue engineering research are used. Structural changes in cell nuclei due to subtle environmental stimuli, including substrate topography and osmotic pressure, are profiled rapidly without disrupting the cells or introducing artifacts associated with traditional measurements. Accuracy > or = 3% is obtained for the range of nuclear geometries examined here, with the greatest deviations occurring for the more complex geometries. Given the high-throughput nature of the measurements, this deviation may be acceptable for many biological applications that seek to establish connections between morphology and function.

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Published In

Biophysical journal

DOI

EISSN

1542-0086

ISSN

0006-3495

Publication Date

June 2008

Volume

94

Issue

12

Start / End Page

4948 / 4956

Related Subject Headings

  • Tomography, Optical Coherence
  • Staining and Labeling
  • Refractometry
  • Interferometry
  • Image Interpretation, Computer-Assisted
  • Cell Size
  • Cell Nucleus
  • Biophysics
  • Algorithms
  • 51 Physical sciences
 

Citation

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Chalut, K. J., Chen, S., Finan, J. D., Giacomelli, M. G., Guilak, F., Leong, K. W., & Wax, A. (2008). Label-free, high-throughput measurements of dynamic changes in cell nuclei using angle-resolved low coherence interferometry. Biophysical Journal, 94(12), 4948–4956. https://doi.org/10.1529/biophysj.107.124107
Chalut, Kevin J., Sulin Chen, John D. Finan, Michael G. Giacomelli, Farshid Guilak, Kam W. Leong, and Adam Wax. “Label-free, high-throughput measurements of dynamic changes in cell nuclei using angle-resolved low coherence interferometry.Biophysical Journal 94, no. 12 (June 2008): 4948–56. https://doi.org/10.1529/biophysj.107.124107.
Chalut KJ, Chen S, Finan JD, Giacomelli MG, Guilak F, Leong KW, et al. Label-free, high-throughput measurements of dynamic changes in cell nuclei using angle-resolved low coherence interferometry. Biophysical journal. 2008 Jun;94(12):4948–56.
Chalut, Kevin J., et al. “Label-free, high-throughput measurements of dynamic changes in cell nuclei using angle-resolved low coherence interferometry.Biophysical Journal, vol. 94, no. 12, June 2008, pp. 4948–56. Epmc, doi:10.1529/biophysj.107.124107.
Chalut KJ, Chen S, Finan JD, Giacomelli MG, Guilak F, Leong KW, Wax A. Label-free, high-throughput measurements of dynamic changes in cell nuclei using angle-resolved low coherence interferometry. Biophysical journal. 2008 Jun;94(12):4948–4956.
Journal cover image

Published In

Biophysical journal

DOI

EISSN

1542-0086

ISSN

0006-3495

Publication Date

June 2008

Volume

94

Issue

12

Start / End Page

4948 / 4956

Related Subject Headings

  • Tomography, Optical Coherence
  • Staining and Labeling
  • Refractometry
  • Interferometry
  • Image Interpretation, Computer-Assisted
  • Cell Size
  • Cell Nucleus
  • Biophysics
  • Algorithms
  • 51 Physical sciences