Reduction of the influence of parasitic interferences and coherence induced disturbances in digital holography-based quantitative phase microscopy by modulation of the object illumination with an electrically focus tunable lens

In digital holographic microscopy (DHM) scattering patterns and parasitic interference fringes due to internal reflections that are caused by coherent laser light affect quantitative phase imaging (QPI). We present an approach for the reduction coherence induced disturbances. Therefore, the sample illumination is modulated by an electrically focus tunable lens while a series of digital off-axis holograms is recorded from which subsequently averaged QPI images are retrieved. The principle is compatible with Mach-Zehnder interferometer-based off-axis DHM and capable to be integrated into commercial research microscopes. The performance of our approach is demonstrated by results from living porcine epithelia cells and mouse fibroblasts.

[1]  Zeev Zalevsky,et al.  Biomedical optical phase microscopy and nanoscopy , 2013 .

[2]  Myung K. Kim Principles and techniques of digital holographic microscopy , 2010 .

[3]  Sarah Mues,et al.  Label-Free Quantitative In Vitro Live Cell Imaging with Digital Holographic Microscopy , 2019, Bioanalytical Reviews.

[4]  C. Depeursinge,et al.  Quantitative phase imaging in biomedicine , 2012, 2012 Conference on Lasers and Electro-Optics (CLEO).

[5]  Patrik Langehanenberg,et al.  Application of partially coherent light in live cell imaging with digital holographic microscopy , 2010 .

[6]  Pierre Marquet,et al.  Review of quantitative phase-digital holographic microscopy: promising novel imaging technique to resolve neuronal network activity and identify cellular biomarkers of psychiatric disorders , 2014, Neurophotonics.

[7]  B. Kemper,et al.  Digital holographic microscopy for live cell applications and technical inspection. , 2008, Applied optics.

[8]  Steffi Ketelhut,et al.  Hyperspectral digital holographic microscopy approach for reduction of coherence induced disturbances in quantitative phase imaging of biological specimens , 2018, Speckle: International Conference on Speckle Metrology.

[9]  YoungJu Jo,et al.  Quantitative Phase Imaging Techniques for the Study of Cell Pathophysiology: From Principles to Applications , 2013, Sensors.

[10]  Patrik Langehanenberg,et al.  Reduction of parasitic interferences in digital holographic microscopy by numerically decreased coherence length , 2012 .

[11]  Steffi Ketelhut,et al.  Multimodal Quantitative Phase Imaging with Digital Holographic Microscopy Accurately Assesses Intestinal Inflammation and Epithelial Wound Healing. , 2016, Journal of visualized experiments : JoVE.

[12]  Steffi Ketelhut,et al.  Enhanced quantitative phase imaging in self-interference digital holographic microscopy using an electrically focus tunable lens. , 2014, Biomedical optics express.

[13]  Steffi Ketelhut,et al.  Quantitative phase microscopy for evaluation of intestinal inflammation and wound healing utilizing label-free biophysical markers. , 2018, Histology and histopathology.

[14]  Pietro Ferraro,et al.  Quantitative phase imaging trends in biomedical applications , 2020 .

[15]  Baoli Yao,et al.  Simple and fast spectral domain algorithm for quantitative phase imaging of living cells with digital holographic microscopy. , 2017, Optics letters.

[16]  B. Wattellier,et al.  Quadriwave lateral shearing interferometry for quantitative phase microscopy of living cells. , 2009, Optics express.

[17]  Daniel Carl,et al.  Modular digital holographic microscopy system for marker free quantitative phase contrast imaging of living cells , 2006, SPIE Photonics Europe.