2019
DOI: 10.1111/jmi.12848
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Study of SU‐8 photoresist cross‐linking process by atomic force acoustic microscopy

Abstract: SummaryIn this paper, a method is presented to detect the different phases of epoxy cross‐linking process and the subsurface structures of SU‐8 thin films by atomic force acoustic microscopy (AFAM). The AFAM imaging of SU‐8 thin films was investigated under different exposure and bake conditions. Optimized conditions were obtained for the cross‐linking of SU‐8 thin film at the exposure does of eight laser pulses with the laser fluence 10 mJ cm–2 per pulse and the post exposure bake (PEB) time at 90 s. The subs… Show more

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(1 citation statement)
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“…Structural similarity (SSIM) image quality evaluation method was applied to evaluate the image quality of phase subsurface imaging. The expression for calculating SSIM of two images is as follows 32 SSIM()x,ybadbreak=()2μxμy+c1()2σxy+c2()μx2+μy2+c1()σx2+σy2+c2,\begin{equation}SSIM\;\left( {x,y} \right) = \frac{{\left( {2{\mu _x}{\mu _y} + {c_1}} \right)\left( {2{\sigma _{xy}} + {c_2}} \right)}}{{\left( {\mu _x^2 + \mu _y^2 + {c_1}} \right)\left( {\sigma _x^2 + \sigma _y^2 + {c_2}} \right)}}\;,\end{equation}where μx${\mu _x}$ and μy$\;{\mu _y}\;$ are the average values of images x and y , respectively; σx2$\sigma _x^2$ and σy2$\sigma _y^2$ are the variances of images x and y , respectively; σxy${\sigma _{xy}}$ is the covariance of images x and y ; and c 1 and c 2 are non‐negative constants used to maintain the stability of SSIM.…”
Section: Resultsmentioning
confidence: 99%
“…Structural similarity (SSIM) image quality evaluation method was applied to evaluate the image quality of phase subsurface imaging. The expression for calculating SSIM of two images is as follows 32 SSIM()x,ybadbreak=()2μxμy+c1()2σxy+c2()μx2+μy2+c1()σx2+σy2+c2,\begin{equation}SSIM\;\left( {x,y} \right) = \frac{{\left( {2{\mu _x}{\mu _y} + {c_1}} \right)\left( {2{\sigma _{xy}} + {c_2}} \right)}}{{\left( {\mu _x^2 + \mu _y^2 + {c_1}} \right)\left( {\sigma _x^2 + \sigma _y^2 + {c_2}} \right)}}\;,\end{equation}where μx${\mu _x}$ and μy$\;{\mu _y}\;$ are the average values of images x and y , respectively; σx2$\sigma _x^2$ and σy2$\sigma _y^2$ are the variances of images x and y , respectively; σxy${\sigma _{xy}}$ is the covariance of images x and y ; and c 1 and c 2 are non‐negative constants used to maintain the stability of SSIM.…”
Section: Resultsmentioning
confidence: 99%