Winspec 32

Manufactured by Teledyne

Sourced in United States

Winspec 32 is a software application developed by Teledyne to control various types of laboratory equipment and devices. It provides a user interface for configuring and operating the connected instruments, allowing users to capture, view, and analyze data generated by the equipment.

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Lab products found in correlation

633 nm hene laser, by Thorlabs (1 mentions) Acton sp2300, by Teledyne (1 mentions) Igor pro, by Wavemetrics (1 mentions) Ls 785 spectrograph, by Teledyne (1 mentions) Pixis 100 br ccd, by Teledyne (1 mentions) He ne laser, by Thorlabs (1 mentions)

7 protocols using winspec 32

SERS Spectra Measurement Protocol

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SERS spectra for non-cell samples are measured using a homebuilt Raman spectrometer employing a 785 nm diode laser (Spectra Physics, Newport) for 1 s exposure time and 10 acquisitions. The laser beam (500 μW, measured at the sample) is focused onto aggregated Au colloids (aggregated by 1 M NaBr) using an inverted microscope objective (Nikon 20X, NA=0.5). The scattered light is collected by the same objective and, after passing through a Rayleigh rejection filter (Semrock), was dispersed in a spectrometer (PI Acton Research, f = 0.3 m, grating = 600 g/mm). Light is detected with a back-illuminated deep-depletion CCD (PIXIS, Spec-10, Princeton Instruments). Winspec 32 software (Princeton Instruments) is used to operate the spectrometer and CCD camera. Each spectrum for the same condition is recorded 7 times using 7 different spots of the aggregated AuNPs in the solution from 3 replicate samples.
SERS spectra for cell samples use the same set-up with the exception of the objective (Nikon 60X, NA=0.7), the laser power (1.3 mW, measured at the sample), and exposure time (5s). Cells are immersed in a thin layer of PBS when taking the measurement.

Gu X., Wang H., Schultz Z.D, & Camden J.P. (2016). Sensing Glucose in Urine & Serum and Hydrogen Peroxide in Living Cells Using a Novel Boronate Nanoprobe Based on Surface-Enhanced Raman Spectroscopy. Analytical chemistry, 88(14), 7191-7197.

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SERS Spectroscopy of Microscale Samples

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SERS measurements were performed with a custom-built Raman spectrometer using a 633 nm HeNe laser (Thor Labs). The laser was focused onto the sample using an inverted microscope objective (Nikon, 20x, NA = 0.5) with approximately 600 μW of power at the objective. The backscattered radiation passed through a Rayleigh rejection filter (Semrock) before dispersion in the spectrometer (Acton SP2300, Princeton Instruments, 600 g mm⁻¹). The photons were detected using a back-illuminated deep depletion CCD (PIXIS, Spec-10, Princeton Instruments) and recorded using Winspec32 software (Princeton Instruments) with a 3 min acquisition time. The wavenumber was calibrated with a toluene/acetonitrile (1:1) solution using nine calibration points. The spectra were background subtracted (Multipeak Fitting 2.0 Package) and plotted in IGOR Pro (WaveMetrics). Each spectrum presented is an average of three scans obtained from different positions in the well of the glass-bottom microtiter plate.

Sherman L.M., Petrov A.P., Karger L.F., Tetrick M.G., Dovichi N.J, & Camden J.P. (2019). A Surface-Enhanced Raman Spectroscopy Database of 63 Metabolites. Talanta, 210, 120645.

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Aggregated Au Colloids SERS Characterization

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The laser beam (2 mW, measured at the sample) is focused onto aggregated Au colloids (aggregated by 100 μL 1 M NaBr added into 1 mL of modified Au colloid solution in order to get decent SERS signal) using an inverted microscope objective (Nikon 20×, NA = 0.5). The scattered light is collected by the same objective and, after passing through a Rayleigh rejection filter (Semrock), was dispersed in a spectrometer (PI Acton Research, f = 0.3 m, grating = 600 g mm^–1). Light is detected with a back-illuminated deep-depletion CCD (PIXIS, Spec-10, Princeton Instruments). Winspec 32 software (Princeton Instruments) is used to operate the spectrometer and CCD camera. The SERS spectra is acquired every 10 s for total time of 2000 s.

Gu X., Wang H, & Camden J.P. (2017). Utilizing light-triggered plasmon-driven catalysis reactions as a template for molecular delivery and release †Electronic supplementary information (ESI) available: 1H NMR, 13C NMR, and mass spectrum information of synthesized MPPC molecule, the mass spectra of supernatant solution subject to 0 and 180 min of laser irradiation, calibration curve of PyA concentration vs. fluorescence intensity at 381 nm, and the extinction spectrum of the AuNPs. See DOI: 10.1039/c7sc02089a Click here for additional data file.. Chemical Science, 8(9), 5902-5908.

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Low-Frequency Raman Spectroscopy of Digestion Media

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The experimental configuration for
low-frequency Raman spectroscopy has been described previously.^{25 (link)} In brief, a 785 nm laser source (Ondax, Inc.
Monrovia, CA, USA) was filtered by two BragGrate bandpass filters
(OptiGrate Corp. Oviedo, FL, USA) and focused (∼500 μm
sample spot) on the quartz capillary containing the digestion media
at a 135° angle relative to the collecting lens. The backscattered
light from the sample was collected and filtered through a set of
volume Bragg gratings (Ondax, Inc. Monrovia, CA, USA) and focused
into a LS 785 spectrograph (Princeton Instruments, Trenton, NJ, USA),
which dispersed the scattered light onto a PIXIS 100 BR CCD (Princeton
Instruments, Trenton, NJ, USA). Spectra were collected using WinSpec/32
software (Princeton Instruments, Trenton, NJ, USA) over a spectral
window of −360 to 2030 cm^–1 with 5–7
cm^–1 resolution. A spectrum was collected every
half a minute (0.5 s acquisition time, ×60 accumulations per
frame) for a total of about 45 min, i.e., 90 frames.

Salim M., Fraser-Miller S.J., Be̅rziņš K., Sutton J.J., Ramirez G., Clulow A.J., Hawley A., Beilles S., Gordon K.C, & Boyd B.J. (2020). Low-Frequency Raman Scattering Spectroscopy as an Accessible Approach to Understand Drug Solubilization in Milk-Based Formulations during Digestion. Molecular Pharmaceutics, 17(3), 885-899.

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SERS Measurements of 4-MBA and 4-HTP Monolayers

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All substrates were immersed in 10 mM 4-MBA or 4-HTP solution for at least 2 h prior to the annealing measurement. To avoid interference from 4-MBA molecules not bound to the surface, we thoroughly rinsed the substrates with methanol after incubation. SERS measurements were conducted on a home-built Raman spectrometer employing a HeNe laser (633 nm, Thorlabs) under ambient condition. The laser beam was focused onto the substrate at 5, 50, 500, or 2000 μW using an inverted microscope objective (Nikon, 20×, NA = 0.5). The scattered light was collected by the same objective and after passing through a Rayleigh rejection filter (Semrock) was dispersed in a spectrometer (PI Acton Research, f = 0.3 m, grating = 1200 g/mm). The light is then detected with a back-illuminated deep-depletion CCD (PIXIS, Spec-10, Princeton Instruments). The WinSpec 32 software (Princeton Instruments) was used to operate the spectrometer and CCD camera. Integration of 1 s was used for all SERS measurements.

Ma C., Fu K., Trujillo M.J., Gu X., Baig N., Bohn P.W, & Camden J.P. (2018). In Situ Probing of Laser Annealing of Plasmonic Substrates with Surface-Enhanced Raman Spectroscopy. The journal of physical chemistry. C, Nanomaterials and interfaces, 122(20), 11031-11037.

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Amyloid-β Fibrils Labeling and Imaging

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This experimental system and operation was as previously described52 (link). After the incubation period, the organic dye ThT (the mole ratio of Aβ_1–40 and ThT is 1:2) was added to label the Aβ_1–40 fibrils. Then, a 445 nm diode laser (50 mW, LQC445-40E, Newport, USA) was used for the excitation of the ThT-labeled Aβ_1-40. Images were obtained by using the WinSpec/32 software (Princeton Instruments, Version 2.5.22.0, Downingtown, PA).

Lu L., Zhong H.J., Wang M., Ho S.L., Li H.W., Leung C.H, & Ma D.L. (2015). Inhibition of Beta-Amyloid Fibrillation by Luminescent Iridium(III) Complex Probes. Scientific Reports, 5, 14619.

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Quantifying MNC Fluorescence Intensity

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Briefly, fluorescence images of 20 consecutive frames were acquired at different positions from the channel using the WinSpec/32 software provided by Princeton Instruments. All images were analyzed in ImageJ. The fluorescence signal from a single MNC was obtained by measuring the fluorescence intensity of 50 individual MNCs randomly. Net intensity = 1×1 square pixel of the MNCs - 1×1 square pixel of the corresponding background on the image. The average net intensity was obtained by averaging the net intensities of 50 individual MNCs.

Chan H.N., Xu D., Ho S.L., He D., Wong M.S, & Li H.W. (2019). Highly sensitive quantification of Alzheimer's disease biomarkers by aptamer-assisted amplification. Theranostics, 9(10), 2939-2949.

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