252034
碘化-1,1′,3,3,3′,3′-六甲基吲哚三羰花青
97%
别名:
2-[7-(1,3-二氢-1,3,3-三甲基-2H-吲哚-2-亚基)-1,3,5-庚三烯基]-1,3,3-三甲基-3H-吲哚碘化物, HITC 碘化物
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关于此项目
经验公式(希尔记法):
C29H33IN2
化学文摘社编号:
分子量:
536.49
EC 号:
MDL编号:
UNSPSC代码:
12352103
PubChem化学物质编号:
NACRES:
NA.23
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
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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
Ruoyang Yao et al.
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Macroscopic fluorescence lifetime imaging (MFLI) via compressed sensed (CS) measurements enables efficient and accurate quantification of molecular interactions in vivo over a large field of view (FOV). However, the current data-processing workflow is slow, complex and performs poorly under photon-starved
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
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
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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
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