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Depth selectivity for the assessment of microstructure by polarization studies.

Feng X, Sun L, Zhang E - Biomed Opt Express (2013)

Bottom Line: The proposed system is based on the orthogonal polarization spectral (OPS) technique, and is able to detect microstructure and microvessel.First, we compare the performance of four polarization imaging channels on a biological phantom, and find that there is a linear relation between the degrees of ellipticity and image contrast in co-linear/co-elliptical channels.In addition, the cross-linear channel has the best image contrast.

View Article: PubMed Central - PubMed

Affiliation: State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, 100084, China.

ABSTRACT
A polarimetric imaging system capable of continuously selecting imaging depth in a turbid media is demonstrated. The proposed system is based on the orthogonal polarization spectral (OPS) technique, and is able to detect microstructure and microvessel. First, we compare the performance of four polarization imaging channels on a biological phantom, and find that there is a linear relation between the degrees of ellipticity and image contrast in co-linear/co-elliptical channels. In addition, the cross-linear channel has the best image contrast. We then prove the performance of depth selectivity of microvessel in a mouse ear.

No MeSH data available.


First row: same as in Fig. 4, for microvessel detection in a mouse ear. Left bottom: zones A and B are the detection areas. Right bottom: comparison of contrast in two zones under the corresponding θ. Pixel size 6.5μm × 6.25μm.
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g005: First row: same as in Fig. 4, for microvessel detection in a mouse ear. Left bottom: zones A and B are the detection areas. Right bottom: comparison of contrast in two zones under the corresponding θ. Pixel size 6.5μm × 6.25μm.

Mentions: Next, we test the feasibility of this method by imaging the auricle microvessel of a nude mouse. Images are acquired at 532nm with a detection area of 770μm, shown in Fig. 5Fig. 5


Depth selectivity for the assessment of microstructure by polarization studies.

Feng X, Sun L, Zhang E - Biomed Opt Express (2013)

First row: same as in Fig. 4, for microvessel detection in a mouse ear. Left bottom: zones A and B are the detection areas. Right bottom: comparison of contrast in two zones under the corresponding θ. Pixel size 6.5μm × 6.25μm.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3675874&req=5

g005: First row: same as in Fig. 4, for microvessel detection in a mouse ear. Left bottom: zones A and B are the detection areas. Right bottom: comparison of contrast in two zones under the corresponding θ. Pixel size 6.5μm × 6.25μm.
Mentions: Next, we test the feasibility of this method by imaging the auricle microvessel of a nude mouse. Images are acquired at 532nm with a detection area of 770μm, shown in Fig. 5Fig. 5

Bottom Line: The proposed system is based on the orthogonal polarization spectral (OPS) technique, and is able to detect microstructure and microvessel.First, we compare the performance of four polarization imaging channels on a biological phantom, and find that there is a linear relation between the degrees of ellipticity and image contrast in co-linear/co-elliptical channels.In addition, the cross-linear channel has the best image contrast.

View Article: PubMed Central - PubMed

Affiliation: State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, 100084, China.

ABSTRACT
A polarimetric imaging system capable of continuously selecting imaging depth in a turbid media is demonstrated. The proposed system is based on the orthogonal polarization spectral (OPS) technique, and is able to detect microstructure and microvessel. First, we compare the performance of four polarization imaging channels on a biological phantom, and find that there is a linear relation between the degrees of ellipticity and image contrast in co-linear/co-elliptical channels. In addition, the cross-linear channel has the best image contrast. We then prove the performance of depth selectivity of microvessel in a mouse ear.

No MeSH data available.