2009
DOI: 10.1016/j.optcom.2009.06.049
|View full text |Cite
|
Sign up to set email alerts
|

Phase aberration compensation of digital holographic microscopy based on least squares surface fitting

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
43
0

Year Published

2011
2011
2019
2019

Publication Types

Select...
5
2
1

Relationship

1
7

Authors

Journals

citations
Cited by 96 publications
(50 citation statements)
references
References 16 publications
0
43
0
Order By: Relevance
“…46 As explained above, this drawback, which is caused by the residual quadratic phase factor, can be numerically removed a posteriori via a variety of procedures. [33][34][35][36] The most utilized methods for removing the residual phase factor are based on polynomial fitting of areas selected from the raw phase where the contribution of object to the phase map is constant. 35,36 This condition imposes the need of areas of the FOV free of sample information, which means a significant reduction of the usable FOV.…”
Section: Qpi-dhm For Biological Specimensmentioning
confidence: 99%
See 2 more Smart Citations
“…46 As explained above, this drawback, which is caused by the residual quadratic phase factor, can be numerically removed a posteriori via a variety of procedures. [33][34][35][36] The most utilized methods for removing the residual phase factor are based on polynomial fitting of areas selected from the raw phase where the contribution of object to the phase map is constant. 35,36 This condition imposes the need of areas of the FOV free of sample information, which means a significant reduction of the usable FOV.…”
Section: Qpi-dhm For Biological Specimensmentioning
confidence: 99%
“…The raw phase maps, Figs. 4(b) and 4(e), have larger areas from which the data for phase compensation can be extracted, which leads, after the usual series of a posteriori operations, 35,36 to the corrected phase map for the nontelecentric DHM shown in Fig. 4(c).…”
Section: Qpi-dhm For Biological Specimensmentioning
confidence: 99%
See 1 more Smart Citation
“…Another group of compensation methods, as mentioned above, is based on numerical postprocessing. Roughly speaking, fittingbased numerical methods involve in the use of different polynomials such as standard polynomials, 17,18 digital phase mask, 19,20 and Zernike polynomials. 17,21 By solving a least-squares problem 19,21 or a phase variation minimization problem, 20 the aberration surface is thus fitted and then subtracted from the phase map, resulting in a pure object phase finally.…”
Section: Introductionmentioning
confidence: 99%
“…Colomb et al [6,7] proposed to compute phase polynomial masks, called numerical parametric lenses, whose parameters are automatically adjusted by fitting standard polynomials or Zernike polynomials to manual selected 1D profiles or 2D areas extracted from the unwrapped phase where a constant phase is assumed. Others methods correct the curvature automatically by two dimensional fitting of the unwrapped phase signal to a parabolic surface [8,9] or Zernike polynomials [10]. In the Ref.…”
Section: Introductionmentioning
confidence: 99%