Invention Publication
- Patent Title: LIGHT CORRECTION COEFFICIENT PREDICTION METHOD, LIGHT CORRECTION COEFFICIENT PREDICTION DEVICE, MACHINE LEARNING METHOD, PRE-PROCESSING METHOD IN MACHINE LEARNING, AND TRAINED LEARNING MODEL
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Application No.: US18285967Application Date: 2022-01-13
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Publication No.: US20240184103A1Publication Date: 2024-06-06
- Inventor: Masashi FUKUHARA , Yu HASHIMOTO , Kazuya SUZUKI , Tomoko HYODO
- Applicant: HAMAMATSU PHOTONICS K.K.
- Applicant Address: JP Hamamatsu-shi, Shizuoka
- Assignee: HAMAMATSU PHOTONICS K.K.
- Current Assignee: HAMAMATSU PHOTONICS K.K.
- Current Assignee Address: JP Hamamatsu-shi, Shizuoka
- Priority: JP 21069073 2021.04.15
- International Application: PCT/JP2022/000967 2022.01.13
- Date entered country: 2023-10-06
- Main IPC: G02B27/00
- IPC: G02B27/00 ; G06N20/00

Abstract:
A control device includes: an acquisition unit that acquires, for an intensity image obtained by observing an action caused by light corrected using a spatial light modulator based on a Zernike coefficient, an intensity distribution that is a distribution of intensities in a plurality of regions of interest within a predetermined range on the intensity image; a generation unit that calculates a comparison result between the intensity distribution and a target distribution to generate comparison data; and a prediction unit that predicts a Zernike coefficient, which is for performing aberration correction related to the light so that the intensity distribution approaches the target distribution, by inputting the comparison data and the Zernike coefficient, which is a basis of the intensity distribution, to a learning model.
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