2006
DOI: 10.1016/j.infrared.2004.12.002
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Planarization of CMOS ROIC dies for uncooled detectors

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Cited by 6 publications
(3 citation statements)
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References 10 publications
(11 reference statements)
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“…With curing temperature 160 ºC the planarization level can be further improved by reducing the surface topology to about 110nm. The final surface roughness (Figure 3) of 83nm with curing temperature 170 ºC is in substantial agreement with the reported value of 800 Å and 600Å and the measured DOP of 95.9% and 97% which planarization was two layers of BCB [5,6]. Figure 2 shows when the softcuring temperature is higher than 170 o C, etching time is 65s, the contacthole can't be etched completely before photoresist floating, so it needs an ICP process to etch polymer films completely.…”
Section: Roughness Of Polymer Films As Planarization Layerssupporting
confidence: 89%
See 1 more Smart Citation
“…With curing temperature 160 ºC the planarization level can be further improved by reducing the surface topology to about 110nm. The final surface roughness (Figure 3) of 83nm with curing temperature 170 ºC is in substantial agreement with the reported value of 800 Å and 600Å and the measured DOP of 95.9% and 97% which planarization was two layers of BCB [5,6]. Figure 2 shows when the softcuring temperature is higher than 170 o C, etching time is 65s, the contacthole can't be etched completely before photoresist floating, so it needs an ICP process to etch polymer films completely.…”
Section: Roughness Of Polymer Films As Planarization Layerssupporting
confidence: 89%
“…Punit Chiniwalla has successfully planarized the surface topology of an experimental structure from 2 µm to about 800 Å using spin coating method [4]. Hongchen Wang has also reduced the surface roughness of ROIC dies from 2 µm to less than 1500 Å , which satisfies the surface topology requirement for the subsequent fabrication of flat microbolometer structure [5]. In this paper, we chose the spin coating method for planarization of ROIC.…”
Section: Introductionmentioning
confidence: 99%
“…And based on the three criterions, it also proposed first order derivative edge detection operator of suboptimal Gaussian type function. What' more, Canny algorithm has a strong anti-noise ability and an excellent performance of edge detection, so it can obtain thin, complete and consecutive edges of images, and it has a pretty low time cost as a result of its comparatively simple algorithm [6][7][8]. The image after Canny edge detection is shown in Fig.…”
Section: Processing Of the Path Imagementioning
confidence: 99%