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Key Documents

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252034

Sigma-Aldrich

1,1′,3,3,3′,3′-Hexamethylindotricarbocyanine iodide

97%

Sinónimos:

2-[7-(1,3-Dihydro-1,3,3-trimethyl-2H-indol-2-ylidene)-1,3,5-heptatrienyl]-1,3,3-trimethyl-3H-indolium iodide, HITC iodide

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About This Item

Fórmula empírica (notación de Hill):
C29H33IN2
Número de CAS:
19764-96-6
Peso molecular:
536.49
EC Number:
243-282-2
MDL number:
MFCD00011950
UNSPSC Code:
12352103
PubChem Substance ID:
57648119
NACRES:
NA.23

assay

97%

form

solid

impurities

2% ethyl alcohol

mp

198 °C (dec.) (lit.)

λmax

740 nm

SMILES string

[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

Categorías relacionadas

Application

Suitable as laser dye

pictograms

Exclamation mark
GHS07

signalword

Warning

Hazard Classifications

Eye Irrit. 2 - Skin Irrit. 2 - STOT SE 3

target_organs

Respiratory system

Storage Class

11 - Combustible Solids

wgk_germany

WGK 3

flash_point_f

Not applicable

flash_point_c

Not applicable

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Certificados de análisis (COA)

Lot/Batch Number
MKBD8288
19916HI
14413LO
13896KH
11303BN

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Sigma-Aldrich

900883

NIR-II dye

Poly(butyl methacrylate-co-methyl methacrylate) average Mw ~150,000

Sigma-Aldrich

474037

Poly(butyl methacrylate-co-methyl methacrylate)

Ruoyang Yao et al.
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
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
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
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
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
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