Three dimensional live-cell STED microscopy at increased depth using a water immersion objective

扫描电镜 光学 油浸 显微镜 受激发射 显微镜 数值孔径 材料科学 不透明度 图像分辨率 折射率 物理 激光器 波长
作者
Jörn Heine,Christian A. Wurm,Jan Keller‐Findeisen,Andreas Schönle,Benjamin Harke,Matthias Reuß,Franziska R. Winter,Gerald Donnert
出处
期刊:Review of Scientific Instruments [American Institute of Physics]
卷期号:89 (5) 被引量:46
标识
DOI:10.1063/1.5020249
摘要

Modern fluorescence superresolution microscopes are capable of imaging living cells on the nanometer scale. One of those techniques is stimulated emission depletion (STED) which increases the microscope’s resolution many times in the lateral and the axial directions. To achieve these high resolutions not only close to the coverslip but also at greater depths, the choice of objective becomes crucial. Oil immersion objectives have frequently been used for STED imaging since their high numerical aperture (NA) leads to high spatial resolutions. But during live-cell imaging, especially at great penetration depths, these objectives have a distinct disadvantage. The refractive index mismatch between the immersion oil and the usually aqueous embedding media of living specimens results in unwanted spherical aberrations. These aberrations distort the point spread functions (PSFs). Notably, during z- and 3D-STED imaging, the resolution increase along the optical axis is majorly hampered if at all possible. To overcome this limitation, we here use a water immersion objective in combination with a spatial light modulator for z-STED measurements of living samples at great depths. This compact design allows for switching between objectives without having to adapt the STED beam path and enables on the fly alterations of the STED PSF to correct for aberrations. Furthermore, we derive the influence of the NA on the axial STED resolution theoretically and experimentally. We show under live-cell imaging conditions that a water immersion objective leads to far superior results than an oil immersion objective at penetration depths of 5–180 μm.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
fox完成签到 ,获得积分10
刚刚
genova完成签到,获得积分10
1秒前
二狗子哥完成签到,获得积分10
1秒前
三层楼高完成签到,获得积分10
2秒前
woodword完成签到,获得积分10
3秒前
wenwei完成签到,获得积分10
4秒前
乔治韦斯莱完成签到 ,获得积分10
4秒前
jmy完成签到,获得积分10
5秒前
vivideng完成签到,获得积分10
6秒前
灵巧夏彤完成签到 ,获得积分10
7秒前
闫永娟完成签到 ,获得积分10
7秒前
7秒前
8秒前
m李完成签到 ,获得积分10
9秒前
大个应助强公子采纳,获得10
11秒前
抹茶小豆完成签到,获得积分10
11秒前
hhr完成签到 ,获得积分10
11秒前
照亮世界的ay完成签到,获得积分10
13秒前
wang5945发布了新的文献求助10
13秒前
研友_Lw7OvL完成签到 ,获得积分10
13秒前
迅速的岩完成签到,获得积分10
13秒前
14秒前
东北二踢脚完成签到 ,获得积分10
14秒前
感动葵阴完成签到,获得积分10
17秒前
粒粒完成签到,获得积分10
18秒前
Tonald Yang发布了新的文献求助10
19秒前
关美人儿完成签到,获得积分10
19秒前
幸运嘟嘟完成签到 ,获得积分10
21秒前
积极的怜南完成签到,获得积分10
21秒前
001完成签到,获得积分10
23秒前
qwe完成签到,获得积分10
23秒前
对对对发发完成签到,获得积分10
23秒前
任性完成签到,获得积分10
24秒前
卖药丸的兔子完成签到 ,获得积分10
24秒前
斯文败类应助强公子采纳,获得10
24秒前
nono完成签到 ,获得积分10
24秒前
哔哩哔哩往上爬完成签到,获得积分10
25秒前
小白一枚完成签到 ,获得积分10
26秒前
Murphy~完成签到,获得积分10
27秒前
zhuboujs完成签到,获得积分10
27秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2500
卤化钙钛矿人工突触的研究 2000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 600
Bounds for Statistical Estimation in Semiparametric Models 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6498137
求助须知:如何正确求助?哪些是违规求助? 8294136
关于积分的说明 17696842
捐赠科研通 5594091
什么是DOI,文献DOI怎么找? 2917588
邀请新用户注册赠送积分活动 1894530
关于科研通互助平台的介绍 1755120