研究者詳細 - 塚田　祐基

総説・解説等 - 塚田　祐基

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ImageJ定量階梯(第4回)簡単な画像処理とその応用(色符号化,マスク,鮮鋭化)

塚田祐基

細胞工学（学研メディカル秀潤社 ; 1982-） 33 （ 3 ） 337 - 342 2014年

ISSN 0287-3796

ImageJ定量階梯(第8回)形態の定量・形状の検出(静止画像)

塚田祐基

細胞工学（学研メディカル秀潤社 ; 1982-） 33 （ 7 ） 778 - 783 2014年

ISSN 0287-3796

Japanese studies on neural circuits and behavior of Caenorhabditis elegans

H Sasakura, Y Tsukada, S Takagi, I Mori

Frontiers in neural circuits 7, 187 （FRONTIERS MEDIA SA） 7 （ 187 ） doi: 10.3389/fncir.2013.00187 2013年11月

ISSN 1662-5110

The nematode Caenorhabditis elegans is an ideal organism for studying neural plasticity and animal behaviors. A total of 302 neurons of a C. elegans hermaphrodite have been classified into 118 neuronal groups. This simple neural circuit provides a solid basis for understanding the mechanisms of the brains of higher animals, including humans. Recent studies that employ modern imaging and manipulation techniques enable researchers to study the dynamic properties of nervous systems with great precision. Behavioral and molecular genetic analyses of this tiny animal have contributed greatly to the advancement of neural circuit research. Here, we will review the recent studies on the neural circuits of C. elegans that have been conducted in Japan. Several laboratories have established unique and clever methods to study the underlying neuronal substrates of behavioral regulation in C. elegans. The technological advances applied to studies of C. elegans have allowed new approaches for the studies of complex neural systems. Through reviewing the studies on the neuronal circuits of C. elegans in Japan, we will analyze and discuss the directions of neural circuit studies.

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システム神経科学スプリングスクール2013開催報告

中江健, 本田直樹, 浦久保秀俊, 山尾将隆, 塚田祐基, 石井信

日本神経回路学会誌 = The Brain & neural networks （日本神経回路学会） 20 （ 2 ） 84 - 87 2013年06月

ISSN 1340-766X

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Feedback regulation of microscopes by image processing

Y Tsukada, K Hashimoto

Development, growth & differentiation 55 (4), 550-562 55 （ 4 ） 550 - 562 2013年05月

ISSN 0012-1592

Computational microscope systems are becoming a major part of imaging biological phenomena, and the development of such systems requires the design of automated regulation of microscopes. An important aspect of automated regulation is feedback regulation, which is the focus of this review. As modern microscope systems become more complex, often with many independent components that must work together, computer control is inevitable since the exact orchestration of parameters and timings for these multiple components is critical to acquire proper images. A number of techniques have been developed for biological imaging to accomplish this. Here, we summarize the basics of computational microscopy for the purpose of building automatically regulated microscopes focus on feedback regulation by image processing. These techniques allow high throughput data acquisition while monitoring both short- and long-term dynamic phenomena, which cannot be achieved without an automated system. Development, Growth &amp
Differentiation © 2013 Japanese Society of Developmental Biologists.