著者
藤田 克昌
出版者
一般社団法人 日本生物物理学会
雑誌
生物物理 (ISSN:05824052)
巻号頁・発行日
vol.50, no.4, pp.174-179, 2010 (Released:2010-07-25)
参考文献数
23
被引用文献数
2 or 3

Recent developments in fluorescence microscopy techniques have broken the diffraction limit and achieved the spatial resolution of sub 100 nm range. Saturated excitation (SAX) microscopy and stimulated emission depletion (STED) microscopy utilize saturable optical phenomena seen in laser excitation and stimulate emission of fluorescence molecules to induce strongly nonlinear optical effects for the resolution improvement. Photoactivated localization microscopy (PALM) and stochastic optical reconstruction microscopy (STORM) applied photoswitchable fluorescence probes for precise measurement of positions of the fluorescence probes in a sample in a few tens of nanometer scale. This review introduces the principles and the characteristics of those super resolution microscopy techniques with discussing the imaging formation and the resolution limit in conventional microscopy techniques.

17 0 0 0 OA 若手の声

出版者
一般社団法人 日本生物物理学会
雑誌
生物物理 (ISSN:05824052)
巻号頁・発行日
vol.53, no.3, pp.173-174, 2013 (Released:2013-05-29)
著者
福島 健児 藤田 浩徳
出版者
一般社団法人 日本生物物理学会
雑誌
生物物理 (ISSN:05824052)
巻号頁・発行日
vol.56, no.5, pp.255-261, 2016 (Released:2016-09-27)
参考文献数
15

Carnivorous plants produce morphologically complex leaves that serve as a trapping device. Among a variety of the trap leaves, pitcher-shaped leaves have been considered to have evolved by drastic morphological changes, since no evolutionary intermediate has been identified in both extant and extinct species. Here we review roles of organ polarity and cell division patterns in the pitcher development, as well as applications of vertex dynamics model to understand leaf development. Development and evolution of pitcher leaves are inferred from both experimental and computational approaches.
著者
岩切 淳一 浜田 道昭
出版者
一般社団法人 日本生物物理学会
雑誌
生物物理 (ISSN:05824052)
巻号頁・発行日
vol.56, no.4, pp.217-220, 2016 (Released:2016-07-25)
参考文献数
20

Recent advances in high throughput sequencing technologies unveiled that large number of long non-coding RNAs (lncRNAs) are transcribed from human genome. Currently, these emerging transcripts are needed to be functionally classified and annotated. Here we review several bioinformatic approaches for analyzing the important characteristics of the lncRNAs toward discovering their functions: 1) tissue specificities of lncRNA expressions, 2) two types of macromolecular interactions (RNA-RNA and RNA-protein interactions), 3) secondary structures of lncRNAs.