Automatic system for life-stage detection of drosophila with single animal resolution toward high-throughput screening

Taishi Matsumura; Ki-Hyeon Seong; Maki Otori; Mayu Kudo; Manae Kashimura; Tetsuya Yuasa; Siu Kang

doi:10.1117/12.2521257

22 March 2019 Automatic system for life-stage detection of drosophila with single animal resolution toward high-throughput screening

Taishi Matsumura, Ki-Hyeon Seong, Maki Otori, Mayu Kudo, Manae Kashimura, Tetsuya Yuasa, Siu Kang

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Proceedings Volume 11049, International Workshop on Advanced Image Technology (IWAIT) 2019; 1104927 (2019) https://doi.org/10.1117/12.2521257
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore

Abstract

Drosophila, as known as fruit fly, is a holometabolous insect typically showing four life-stages ― embryo, larva, pupa, and adult. A fruit fly is often used as a model animal in gene manipulation research since it is easily bred and manipulated with genetic operation. However, detection of the life-stages is manually performed in laboratories. In this paper, we propose the automatic life-stage detection system. We trained the neural network specializing in a semantic segmentation task. As a result, the network could detect pixel-wise an animal in a picture. Moreover, simple signal processing achieved precise detection of life-stage transition comparable with manual operation. It is expected that our system promotes high-throughput screening in genetic research manipulating drosophila.

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Taishi Matsumura, Ki-Hyeon Seong, Maki Otori, Mayu Kudo, Manae Kashimura, Tetsuya Yuasa, and Siu Kang "Automatic system for life-stage detection of drosophila with single animal resolution toward high-throughput screening", Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 1104927 (22 March 2019); https://doi.org/10.1117/12.2521257

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KEYWORDS

Image segmentation

Scanners

Genetics

Computer programming

Convolution

Neural networks

Image processing

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