Reconstruction algorithms applied to in-line Gabor digital holographic microscopy

Molony, Karen M.; Hennelly, Bryan M.; Kelly, Damien P.; Naughton, Thomas J.

doi:10.1016/j.optcom.2009.11.012

Cited by 48 publications

(18 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Digital holographic microscopy is one of the most widely explored modalities as it permits high-throughput multidimensional imaging of phase and amplitude information of the specimen. In the meantime, Gabor-based Lensless Inline Holographic Microscopy (LIHM) [1][2][3][4][5][6] has attracted special attention because of its simplicity, compactness, and high space-bandwidth product. In any coherent holographic configuration, it is typical to have coherence-related noises such as speckle, defocus, self/cross-interference artifacts.…”

Section: Approach Overview and Backgroundmentioning

confidence: 99%

Holographic Optical Field Recovery Using a Regularized Untrained Deep Decoder Network

Niknam

Ghazvini

Latifi

2021

Preprint

View full text Add to dashboard Cite

Image reconstruction using minimal measured information has been a long-standing open problem in many computational imaging approaches, in particular in-line holography. Many solutions are devised based on compressive sensing (CS) techniques with handcrafted image priors or supervised Deep Neural Networks (DNN). However, the limited performance of CS methods due to lack of information about the image priors and the requirement of an enormous amount of per-sample-type training resources for DNNs has posed new challenges over the primary problem. In this study, we propose a single-shot lensless in-line holographic reconstruction method using an untrained deep neural network which is incorporated with a physical image formation algorithm. We demonstrate that by modifying a deep decoder network with simple regularizers, a Gabor hologram can be inversely reconstructed via a minimization process that is constrained by a deep image prior. The outcoming model allows to accurately recover the phase and amplitude images without any training dataset, excess measurements, or specific assumptions about the object’s or the measurement’s characteristics.

show abstract

Section: Approach Overview and Backgroundmentioning

confidence: 99%

Holographic Optical Field Recovery Using a Regularized Untrained Deep Decoder Network

Niknam

Ghazvini

Latifi

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…More importantly from the viewpoint of MSW-DH, nofs can be discretely tuned at a step of frep within the whole tunable range of the ECLD or the spectral range of the OFC by switching the m value in Eq. (2). Furthermore, fofs can be tuned more precisely or more continuously by changing frep while maintaining the phase locking of the ECLD to the OFC mode.…”

Section: Optical-comb-referenced Frequency Synthesizer (Ofs)mentioning

confidence: 99%

Multicascade-linked synthetic wavelength digital holography using an optical-comb-referenced frequency synthesizer

Yamagiwa¹,

Minamikawa²,

Trovato³

et al. 2018

Opt. Express

View full text Add to dashboard Cite

Digital holography (DH) is a promising method for non-contact surface topography because the reconstructed phase image can visualize the nanometer unevenness in a sample. However, the axial range of this method is limited to the range of the optical wavelength due to the phase wrapping ambiguity. Although the use of two different wavelengths of light and the resulting synthetic wavelength, i.e., synthetic wavelength DH, can expand the axial range up to a few tens of microns, this method is still insufficient for practical applications. In this article, a tunable external cavity laser diode phase-locked to an optical frequency comb, namely, an opticalcomb-referenced frequency synthesizer, is effectively used for multiple synthetic wavelengths within the range of 32 µm to 1.20 m. A multiple cascade link of the phase images among an optical wavelength (= 1.520 µm) and 5 different synthetic wavelengths (= 32.39 µm, 99.98 µm, 400.0 µm, 1003 µm, and 4021 µm) enables the shape measurement of a reflective millimeter-sized stepped surface with the axial resolution of 34 nm. The axial dynamic range, defined as the ratio of the maximum axial range (= 0.60 m) to the axial resolution (= 34 nm), achieves 1.7×10 8 , which is much larger than that of previous synthetic wavelength DH. Such a wide axial dynamic range capability will further expand the application field of DH for large objects with meter dimensions.

show abstract

“…5] to correct for the effects of using a point source (i.e., a diverging spherical wave illumination). 61 As stated, if the object is weakly scattering and highly transmissive (i.e., a phase object causing small intensity variations in transmission compared to the reference wave), then it is possible to obtain the phase information 58 using the in-line geometry. A numerical difficulty in performing continuous phase extraction from digital holograms is the discontinuities due to the modulo 2π nature of the arctangent operation appearing in Eq.…”

Section: Theorymentioning

confidence: 99%

Lensless multispectral digital in-line holographic microscope

2011

View full text Add to dashboard Cite

An compact multispectral digital in-line holographic microscope (DIHM) is developed that emulates Gabor's original holographic principle. Using sources of varying spatial coherence (laser, LED), holographic images of objects, including optical fiber, latex microspheres, and cancer cells, are successfully captured and numerically processed. Quantitative measurement of cell locations and percentage confluence are estimated, and pseudocolor images are also presented. Phase profiles of weakly scattering cells are obtained from the DIHM and are compared to those produced by a commercially available off-axis digital holographic microscope.

show abstract

Reconstruction algorithms applied to in-line Gabor digital holographic microscopy

Cited by 48 publications

References 28 publications

Holographic Optical Field Recovery Using a Regularized Untrained Deep Decoder Network

Holographic Optical Field Recovery Using a Regularized Untrained Deep Decoder Network

Multicascade-linked synthetic wavelength digital holography using an optical-comb-referenced frequency synthesizer

Lensless multispectral digital in-line holographic microscope

Contact Info

Product

Resources

About