2009
DOI: 10.1364/oe.17.018408
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Hybrid shear force feedback/scanning quantitative phase microscopy applied to subsurface imaging

Abstract: Quantitative phase microscopy allows for the study of the surface morphology and dynamics of transparent biological specimens. Although phase data often contains coupled subsurface information, decoupling the surface and subsurface components is often very difficult or impossible. We hereby present a simple procedure which exploits simultaneous obtained quantitative phase and shear-force feedback topography data to extract subsurface sample information. Our results reveal subsurface features in fabricated samp… Show more

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Cited by 13 publications
(9 citation statements)
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“…By comparing with the phase map obtained from real experiment [12] (see Figure 4(a)), one may find that there is good consistency between simulation and experiment, which may indicate the availability of this model to some extent. The distribution of the physical thickness as well as the refractive index distribution of the whole cell along y -axis is demonstrated as Figures 5(a) and 5(b), respectively.…”
Section: Simulation Verificationmentioning
confidence: 69%
See 1 more Smart Citation
“…By comparing with the phase map obtained from real experiment [12] (see Figure 4(a)), one may find that there is good consistency between simulation and experiment, which may indicate the availability of this model to some extent. The distribution of the physical thickness as well as the refractive index distribution of the whole cell along y -axis is demonstrated as Figures 5(a) and 5(b), respectively.…”
Section: Simulation Verificationmentioning
confidence: 69%
“…Besides, there are white blood cells (WBC), which could be divided into five subtypes, that is, lymphocyte, eosinophil, neutrophil, basophil, and monocyte. The models of RBC and WBC have been built according to their optical characteristic and morphology (see Figure 1), in which the left one of each set is the morphological structure of the above typical blood cell which is quoted from [12]. Based on the characteristic information in respect of morphology, physiology, and physics, the associated 3D optical models of these cells have been built by VirtualLab simulation, which are demonstrated as the right ones of the sets, respectively [13].…”
Section: Cell Models Of Nuclear Type and The Related Phase Distribmentioning
confidence: 99%
“…Alternatively, phase profile measurements can be used in a complementary way: rather than measuring or assuming a certain refractive index and calculating the cell thickness profile, the cell thickness can be measured by another method and then used in combination with the phase measurement obtained by WFDI to calculate the refractive indices of cellular organelles. For example, confocal microscopy has been used in combination with WFDI microscopy to measure refractive indices of cell organelles (Curl et al, 2005;Lue et al, 2009), and cell height measurments obtained by shear-force feedback topography have been combined with WFDI-based phase measurements (Edward et al, 2009). Another approach is to obtain the cell thickness by restraining the cell mechanically to a known thickness in the direction perpendicular to the image plane.…”
Section: Thickness -Refractive Index Conjugation In the Phase Profilementioning
confidence: 99%
“…For example, confocal microscopy has been used in combination with WFDI microscopy to measure refractive indices of cell organelles [24], and cell height measurments obtained by shear-force feedback topography have been combined with WFDI-based phase measurements [25].…”
Section: Cells With Heterogeneous Refractive Index Structure: Multi Wmentioning
confidence: 99%