2001
DOI: 10.1364/ao.40.005921
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Photoresist characterization and linearization procedure for the gray-scale fabrication of diffractive optical elements

Abstract: We present a procedure for the characterization and the linearization of the photoresist response to UV exposure for application to the gray-scale fabrication of diffractive optical elements. A simple and reliable model is presented as part of the characterization procedure. Application to the fabrication of surface-relief diffractive optical elements is presented, and theoretical predictions are shown to agree well with experiments.

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Cited by 34 publications
(15 citation statements)
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“…The Gaussian approximation method presented in the next sections will outline the method by which an optimum pixel may be selected for each pixel location to accurately re-create any desired profile, including but not limited to, the PFL profile defined in equation (3.5). Alternate gray-scale photoresist linearization schemes have been investigated [43]. Linear gratings with 8 levels were fabricated, however the authors did not demonstrate arbitrary profiles, nor did the model facilitate integration into complicated structure designs.…”
Section: Gaussian Approximation Methodsmentioning
confidence: 99%
“…The Gaussian approximation method presented in the next sections will outline the method by which an optimum pixel may be selected for each pixel location to accurately re-create any desired profile, including but not limited to, the PFL profile defined in equation (3.5). Alternate gray-scale photoresist linearization schemes have been investigated [43]. Linear gratings with 8 levels were fabricated, however the authors did not demonstrate arbitrary profiles, nor did the model facilitate integration into complicated structure designs.…”
Section: Gaussian Approximation Methodsmentioning
confidence: 99%
“…Nevertheless, most photoresists have nonlinear response to UV light exposure so a gray-scale photomask pattern with linear transmittance distribution will not give us a linear photoresist profile, as shown in Fig.3a. A mathematical model is adopted here to characterize and linearize our final photoresist profile [10]. In the model, the original total percentage of unexposed photoresist is normalized as 1, and the percentage of exposed photoresist is denoted as E(t), which is generated after exposure to UV light within a period of time, t. It is further assumed that the changing rate of exposed photoresist,…”
Section: Sloped Photoresistmentioning
confidence: 99%
“…This feature is convenient for maintaining process repeatability without needing to adjust the exposure time manually, but makes it very difficult to know the actual dose used for the exposure. As a solution, the entire process is calibrated using normalized values as demonstrated previously [28,[39][40][41].…”
Section: Photoresist Heightmentioning
confidence: 99%