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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
NACRES:
NA.23
PubChem Substance ID:
UNSPSC Code:
12352103
EC Number:
243-282-2
MDL number:
InChI key
JKXWXYURKUEZHV-UHFFFAOYSA-M
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
SMILES string
[I-].CN1c2ccccc2C(C)(C)\C1=C\C=C\C=C\C=C\C3=[N+](C)c4ccccc4C3(C)C
assay
97%
form
solid
impurities
2% ethyl alcohol
mp
198 °C (dec.) (lit.)
λmax
740 nm
Application
适于用作激光染料
signalword
Warning
hcodes
Hazard Classifications
Eye Irrit. 2 - Skin Irrit. 2 - STOT SE 3
target_organs
Respiratory system
存储类别
11 - Combustible Solids
wgk
WGK 3
flash_point_f
Not applicable
flash_point_c
Not applicable
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Light, science & applications, 8, 26-26 (2019-03-12)
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
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
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
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