当前位置: X-MOL 学术Opt. Express › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Simultaneous stimulated Raman gain and loss detection (SRGAL)
Optics Express ( IF 3.2 ) Pub Date : 2020-09-21 , DOI: 10.1364/oe.400298
Sandro Heuke , Alberto Lombardini , Edlef Büttner , Hervé Rigneault

The fidelity of stimulated Raman scattering (SRS) microscopy images is impaired by artifacts such as thermal lensing, cross-phase modulation and multi-photon absorption. These artifacts affect differently the stimulated Raman loss (SRL) and stimulated Raman gain (SRG) channels making SRL and SRG image comparisons attractive to identify and correct SRS image artifacts. To provide answer to the question: "Can I trust my SRS images?", we designed a novel, but straightforward SRS scheme that enables the dectection of the stimulated Raman gain and loss (SRGAL) simultaneously at the same pixel level. As an advantage over the conventional SRS imaging scheme, SRGAL doubles the SRS signal by acquiring both SRL as well as SRG and allows for the identification of SRS artifacts and their reduction via a balanced summation of the SRL and SRG images.

中文翻译:

同时受激拉曼增益和损耗检测 (SRGAL)

受激拉曼散射 (SRS) 显微镜图像的保真度受到热透镜、交叉相位调制和多光子吸收等伪影的影响。这些伪影对受激拉曼损失 (SRL) 和受激拉曼增益 (SRG) 通道产生不同的影响,使得 SRL 和 SRG 图像比较对识别和纠正 SRS 图像伪影具有吸引力。为了提供问题的答案:“我能相信我的SRS图像”,设计了一种新的,但简单的SRS方案是使的dectection Ş timulated ŕ祖阿曼艾因一个oss (SRGAL) 同时在相同的像素级别。作为优于传统 SRS 成像方案的优势,SRGAL 通过获取 SRL 和 SRG 使 SRS 信号加倍,并允许通过 SRL 和 SRG 图像的平衡求和来识别 SRS 伪影及其减少。
更新日期:2020-09-28
down
wechat
bug