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Fluoromax red

Manufactured by Thermo Fisher Scientific

The FluoroMax red is a high-performance fluorescence spectrometer designed for accurate and sensitive fluorescence measurements. It features advanced optical and electronic components to deliver reliable and reproducible results. The core function of the FluoroMax red is to measure the fluorescence emission and excitation spectra of samples.

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Lab products found in correlation

2 protocols using fluoromax red

1

Polystyrene and Silica Particle Uptake

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For short-term and long-term exposures, plain polystyrene particles (PPP) of 20 and 200 nm (Thermo Scientific) were used. Particle uptake was investigated using red fluorescently labelled PPP of 25 nm, 200 nm, and 500 nm (FluoroMax red, Thermo Scientific). Silica particles Aerosil OX50 were obtained from Degussa.
PPP and Aerosil OX50 particles were applied to cells suspended in cell culture medium (DMEM + 10% FBS) after sonication in an Elmasonic S40 water bath (ultrasonic frequency: 37 kHz, 40 W, Elma) for 20 min.
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2

Quantitative Flow Visualization via mPIV

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Quantitative and spatially resolved two-dimensional (2D) flow fields were obtained using micro-particle image velocimetry (mPIV, TSI Inc.). 74, 75 The fluid was seeded with a low concentration of 2 mm-diameter fluorescent tracer microparticles (Fluoromax red, Thermo Scientific Inc.). The mPIV measurements were recorded at the mid-plane (z = 0) of the channel using an inverted microscope (Nikon Ti) with a 4 Plan Fluor, NA = 0.13 numerical aperture objective lens and a high speed camera (Phantom Miro) working in frame-straddling mode. With this camera and microscope objective, the field of view was 2.56 mm  1.60 mm with a measurement depth of 159 mm, approximately 8% of the height of the channel. At each imposed flow rate, the flow was held for at least 60 seconds, i.e., \30l, before recording the mPIV data. For time-steady flows, mPIV frame pairs were recorded at 25 pairs per second for 10 seconds. For time-dependent flows, mPIV frame pairs were recorded at 50 pairs per second for 30 seconds. Frame pairs were processed both individually and by ensembleaveraging. The velocity field u = [u, v], where u is the x-component of the velocity and v is the y-component of the velocity, was determined via cross-correlation between frame pairs using OpenPIV, an open-source Python package. 76 (link) 3 Results
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