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Updated: Jul 17, 2025

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Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
Published on: February 8, 2014
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Multispectral in-line hologram reconstruction with aberration compensation applied to Gram-stained bacteria
Dylan Brault1, Thomas Olivier1, Nicolas Faure2
1Université Jean Monnet Saint-Etienne, CNRS, Institut d Optique Graduate School, Laboratoire Hubert Curien UMR 5516, 42023, Saint-Etienne, France.
Scientific Reports
|September 2, 2023
Summary
This study introduces a new method to improve holographic microscopy by calibrating optical aberrations. This enhances the accuracy of reconstructing object properties, aiding in bacteria analysis.
Area of Science:
- Optical microscopy
- Holography
- Image reconstruction
Background:
- Optical aberrations limit the accuracy of multispectral digital in-line holographic microscopy (DIHM).
- Reconstruction of transmittance, phase, and morphology is affected by these aberrations, impacting repeatability.
Purpose of the Study:
- To develop and validate a method for calibrating and correcting optical aberrations in DIHM.
- To improve the repeatability and accuracy of quantitative phase and transmittance reconstructions.
Main Methods:
- Model fitting calibration using transparent beads to estimate wavelength-dependent, position-variant aberrations.
- Regularized inverse problem approach (IPA) for joint reconstruction of multi-wavelength holograms.
- Incorporation of shift-variant chromatic and geometrical aberrations into the forward model.
Main Results:
- The methodology demonstrated repeatable evaluation of optical aberrations.
- Improved repeatability in the reconstruction of transmittance and phase information.
- Enhanced contrast in spectral signatures for improved object analysis.
Conclusions:
- The developed method effectively corrects for optical aberrations in DIHM.
- This approach enhances quantitative imaging, particularly beneficial for stained biological samples like bacteria.
- Improved reconstructions support applications in microscopy-based analysis and classification.
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