We propose a novel model for the measurement of a Mueller matrix for biological tissues. Compared with earlier measurement methods, our method can reduce measurement times and can significantly improve measurement efficiency. Our model needs only six intensity measurements to derive all 16 Mueller matrix components of a biological sample in arbitrary pixels. We used the pellicle cell of magnolia as our sample, and the experimental results are identical with those obtained with other methods. We demonstrate that we can obtain Mueller matrix components to recognize different biological tissues in the same visual field rapidly and reliably.
© 2009 Optical Society of America
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