推荐产品
方案
97%
表单
solid
杂质
2% ethyl alcohol
mp
198 °C (dec.) (lit.)
λmax
740 nm
SMILES字符串
[I-].CN1c2ccccc2C(C)(C)\C1=C\C=C\C=C\C=C\C3=[N+](C)c4ccccc4C3(C)C
InChI
1S/C29H33N2.HI/c1-28(2)22-16-12-14-18-24(22)30(5)26(28)20-10-8-7-9-11-21-27-29(3,4)23-17-13-15-19-25(23)31(27)6;/h7-21H,1-6H3;1H/q+1;/p-1
InChI key
JKXWXYURKUEZHV-UHFFFAOYSA-M
应用
适于用作激光染料
警示用语：
Warning
危险声明
危险分类
Eye Irrit. 2 - Skin Irrit. 2 - STOT SE 3
靶器官
Respiratory system
储存分类代码
11 - Combustible Solids
WGK
WGK 3
闪点(°F)
Not applicable
闪点(°C)
Not applicable
Jason T Smith et al.
Proceedings of the National Academy of Sciences of the United States of America, 116(48), 24019-24030 (2019-11-14)
Fluorescence lifetime imaging (FLI) provides unique quantitative information in biomedical and molecular biology studies but relies on complex data-fitting techniques to derive the quantities of interest. Herein, we propose a fit-free approach in FLI image formation that is based on
Judith Weber et al.
Cancer research, 79(20), 5407-5417 (2019-08-29)
Reactive oxygen species play an important role in cancer, however, their promiscuous reactivity, low abundance, and short-lived nature limit our ability to study them in real time in living subjects with conventional noninvasive imaging methods. Photoacoustic imaging is an emerging
M Ochoa et al.
Optics letters, 43(18), 4370-4373 (2018-09-14)
A novel hyperspectral single pixel system was used to compare different compressive basis patterns for intensity imaging, lifetime imaging, and FRET quantification. Six popular basis patterns were compared experimentally in a phantom containing two fluorescent dyes. The basis patterns that
Hong Vu et al.
Bioorganic & medicinal chemistry, 27(9), 1855-1862 (2019-03-27)
Many imaging probes have been developed for a wide variety of imaging modalities. However, no optical imaging probe could be utilized for both microscopic and whole animal imaging. To fill the gap, the dual-wavelength fluorescent imaging nanoprobe was developed to
M Ochoa et al.
Biomedical optics express, 11(10), 5401-5424 (2020-11-06)
Single pixel imaging frameworks facilitate the acquisition of high-dimensional optical data in biological applications with photon starved conditions. However, they are still limited to slow acquisition times and low pixel resolution. Herein, we propose a convolutional neural network for fluorescence
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Graphene is the building block for carbon nanomaterials with different dimensionalities.
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