基本信息来源于合作网站,原文需代理用户跳转至来源网站获取       
摘要:
Scanning fluorescence microscopes are now able to image large biological samples at high spatial and temporal resolution. This comes at the expense of an increased light dose which is detrimental to fluorophore stability and cell physiology. To highly reduce the light dose, we designed an adaptive scanning fluorescence microscope with a scanning scheme optimized for the unsupervised imaging of cell sheets, which underly the shape of many embryos and organs. The surface of the tissue is first delineated from the acquisition of a very small subset (~0.1%) of sample space, using a robust estimation strategy. Two alternative scanning strategies are then proposed to image the tissue with an improved photon budget, without loss in resolution. The first strategy consists in scanning only a thin shell around the estimated surface of interest, allowing high reduction of light dose when the tissue is curved. The second strategy applies when structures of interest lie at the cell periphery (e.g. adherens junctions). An iterative approach is then used to propagate scanning along cell contours. We demonstrate the benefit of our approach imaging live epithelia from Drosophila melanogaster. On the examples shown, both approaches yield more than a 20-fold reduction in light dose-and up to more than 80-fold-compared to a full scan of the volume. These smart-scanning strategies can be easily implemented on most scanning fluorescent imaging modality. The dramatic reduction in light exposure of the sample should allow prolonged imaging of the live processes under investigation.
推荐文章
用IM MicroscoPe方法计算无源互调产物
无源互调(PIM)
无源互调产物(PIMP)
IM Microscope
RF
基于Adaptive Lasso的股票指数跟踪问题研究
Adaptive Lasso
指数跟踪
沪深 300 指数
Influence of the biological carbon pump effect on the sources and deposition of organic matter in Fu
Carbonate weathering
Hydrochemical variation
Biological carbon pump effect
Sediment trap
Autochthonous organic carbon
Carbon sink
内容分析
关键词云
关键词热度
相关文献总数  
(/次)
(/年)
文献信息
篇名 An adaptive microscope for the imaging of biological surfaces
来源期刊 光:科学与应用(英文版) 学科
关键词
年,卷(期) 2021,(11) 所属期刊栏目 Articles
研究方向 页码范围 2195-2206
页数 12页 分类号
字数 语种 英文
DOI
五维指标
传播情况
(/次)
(/年)
引文网络
引文网络
二级参考文献  (0)
共引文献  (0)
参考文献  (0)
节点文献
引证文献  (0)
同被引文献  (0)
二级引证文献  (0)
2021(0)
  • 参考文献(0)
  • 二级参考文献(0)
  • 引证文献(0)
  • 二级引证文献(0)
引文网络交叉学科
相关学者/机构
期刊影响力
光:科学与应用(英文版)
双月刊
2095-5545
22-1404/O4
吉林省长春市东南湖大路3888号
eng
出版文献量(篇)
762
总下载数(次)
0
总被引数(次)
112
论文1v1指导