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Purpose

The purpose of this paper is to propose an imaging process method for automatically extracting assessment target regions in images of crystallization wells.

Design/methodology/approach

The proposed method detects the target by image processing based on saturation variance in images of crystallization wells.

Findings

The proposed method shows high accurate detection performance in a short time.

Practical implications

The method is applicable to automatic crystallization machine. Especially, it is expected to implement to TERA system of RIKEN.

Originality/value

The paper demonstrates target area detection from microscope images based on saturation variance in images of crystallization wells.

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