| Presentation | 2013-01-24 Depth Estimation from Microscopic Images Using Bayesian Inference Yasuhiro IMOTO, Shin-ichi MAEDA, Shin ISHII, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In cellular biology, it is important to know 3D cellular shape to understand the cellular function. However, existing microscopic technology cannot attain high-resolution 3D reconstruction especially when live cell imaging. This study aims to present a statistical method to estimate the 3D shape of target objects from multiple 2D microscopic observations. We estimate the depth with higher resolution than the resolution of observations. Labels and label-based prior knowledge are introduced to improve the estimation. In simulations using artificial images, our method can estimate both of the super-resolved image and the object's depth such to integrate multiple 2D observed images. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | microscopic image processing / depth estimation / super-resolution / Bayesian inference |
| Paper # | NLP2012-109,NC2012-99 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2013/1/17(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Nonlinear Problems (NLP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Depth Estimation from Microscopic Images Using Bayesian Inference |
| Sub Title (in English) | |
| Keyword(1) | microscopic image processing |
| Keyword(2) | depth estimation |
| Keyword(3) | super-resolution |
| Keyword(4) | Bayesian inference |
| 1st Author's Name | Yasuhiro IMOTO |
| 1st Author's Affiliation | Department of Systems Science, Graduate School of Infomatics, Kyoto University() |
| 2nd Author's Name | Shin-ichi MAEDA |
| 2nd Author's Affiliation | Department of Systems Science, Graduate School of Infomatics, Kyoto University |
| 3rd Author's Name | Shin ISHII |
| 3rd Author's Affiliation | Department of Systems Science, Graduate School of Infomatics, Kyoto University |
| Date | 2013-01-24 |
| Paper # | NLP2012-109,NC2012-99 |
| Volume (vol) | vol.112 |
| Number (no) | 389 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |