Example of waveforms for calculation: (a) A-scan signal reflected from the substrate; (b) Spectrum of (a) after FFT; (c) A-scan reflected from the tissue; (d) Spectrum of (c); (e) Nominal spectrum of (d) and (b); (f) Corresponding phase of (d).

Contexts in source publication

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... to the scanning experiment by the SAM system, the samples were treated with Xylene to remove paraffin. The tissue processing is graphed in Figure S4. ...

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... to the scanning experiment by the SAM system, the samples were treated with Xylene to remove paraffin. The tissue processing is graphed in Figure S4. ...

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... Equation (7) can assist the work in approximating the interference frequency when acoustic velocity and thickness are in a known range of values. Figure 4c shows that the magnitude (peak to peak) of the first reflection from the front side of the tissue is about 10% of the rear one. Consequently, obtaining the interferential frequency from the spectrum in Figure 4d was difficult. ...

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... 4c shows that the magnitude (peak to peak) of the first reflection from the front side of the tissue is about 10% of the rear one. Consequently, obtaining the interferential frequency from the spectrum in Figure 4d was difficult. Therefore, the spectrum in Figure 4d was normalized by the reference spectrum in Figure 4b, which resulted in Figure 4e. ...

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... obtaining the interferential frequency from the spectrum in Figure 4d was difficult. Therefore, the spectrum in Figure 4d was normalized by the reference spectrum in Figure 4b, which resulted in Figure 4e. The reference spectrum in Figure 4b was the product of FFT from the signal in Figure 4a, which was reflected from the substrate. ...

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... obtaining the interferential frequency from the spectrum in Figure 4d was difficult. Therefore, the spectrum in Figure 4d was normalized by the reference spectrum in Figure 4b, which resulted in Figure 4e. The reference spectrum in Figure 4b was the product of FFT from the signal in Figure 4a, which was reflected from the substrate. ...

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... obtaining the interferential frequency from the spectrum in Figure 4d was difficult. Therefore, the spectrum in Figure 4d was normalized by the reference spectrum in Figure 4b, which resulted in Figure 4e. The reference spectrum in Figure 4b was the product of FFT from the signal in Figure 4a, which was reflected from the substrate. ...

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... the spectrum in Figure 4d was normalized by the reference spectrum in Figure 4b, which resulted in Figure 4e. The reference spectrum in Figure 4b was the product of FFT from the signal in Figure 4a, which was reflected from the substrate. The interferential frequency ( f m ) was obtained from the nominal spectrum in Figure 4e. ...

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... the spectrum in Figure 4d was normalized by the reference spectrum in Figure 4b, which resulted in Figure 4e. The reference spectrum in Figure 4b was the product of FFT from the signal in Figure 4a, which was reflected from the substrate. The interferential frequency ( f m ) was obtained from the nominal spectrum in Figure 4e. ...

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... reference spectrum in Figure 4b was the product of FFT from the signal in Figure 4a, which was reflected from the substrate. The interferential frequency ( f m ) was obtained from the nominal spectrum in Figure 4e. According to the derived frequency ( f m ), its phase value (φ m ) was determined in Figure 4f. ...

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... interferential frequency ( f m ) was obtained from the nominal spectrum in Figure 4e. According to the derived frequency ( f m ), its phase value (φ m ) was determined in Figure 4f. The reference phase φ re f is the phase of the signal that reflected directly from the substrate at the calculating point. ...

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... equation (7) can assist the work in approximating the interference frequency when acoustic velocity and thickness are in a known range of values. Figure 4c shows that the magnitude (peak to peak) of the first reflection from the front side of the tissue is about 10% of the rear one. Consequently, obtaining the interferential frequency from the spectrum in Figure 4d was difficult. ...

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... 4c shows that the magnitude (peak to peak) of the first reflection from the front side of the tissue is about 10% of the rear one. Consequently, obtaining the interferential frequency from the spectrum in Figure 4d was difficult. Therefore, the spectrum in Figure 4d was normalized by the reference spectrum in Figure 4b, which resulted in Figure 4e. ...

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... obtaining the interferential frequency from the spectrum in Figure 4d was difficult. Therefore, the spectrum in Figure 4d was normalized by the reference spectrum in Figure 4b, which resulted in Figure 4e. The reference spectrum in Figure 4b was the product of FFT from the signal in Figure 4a, which was reflected from the substrate. ...

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... obtaining the interferential frequency from the spectrum in Figure 4d was difficult. Therefore, the spectrum in Figure 4d was normalized by the reference spectrum in Figure 4b, which resulted in Figure 4e. The reference spectrum in Figure 4b was the product of FFT from the signal in Figure 4a, which was reflected from the substrate. ...

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... obtaining the interferential frequency from the spectrum in Figure 4d was difficult. Therefore, the spectrum in Figure 4d was normalized by the reference spectrum in Figure 4b, which resulted in Figure 4e. The reference spectrum in Figure 4b was the product of FFT from the signal in Figure 4a, which was reflected from the substrate. ...

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... the spectrum in Figure 4d was normalized by the reference spectrum in Figure 4b, which resulted in Figure 4e. The reference spectrum in Figure 4b was the product of FFT from the signal in Figure 4a, which was reflected from the substrate. The interferential frequency ( (5) and (6). ...

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... the spectrum in Figure 4d was normalized by the reference spectrum in Figure 4b, which resulted in Figure 4e. The reference spectrum in Figure 4b was the product of FFT from the signal in Figure 4a, which was reflected from the substrate. The interferential frequency ( (5) and (6). ...

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... Materials: The following are available online at http://www.mdpi.com/2076-3417/9/22/4883/s1, Figure S1: The slope adjustment stage, Figure S2: The integrated microscope part of the system, Figure S3: A pair of linear scanning motor, Figure S4: Schematic illustration of tissue processing, Figure S5: Average speed of sound, Figure S6: Graphs of the phase values from Table S1, Table S1: The typical values of phase caused by random noise ...