Phantom v310

Manufactured by Ametek

Sourced in United States

The Phantom V310 is a high-speed digital camera designed for scientific and industrial applications. It offers a maximum resolution of 1280 x 800 pixels and can capture images at up to 3,200 frames per second. The camera features a CMOS sensor and supports a variety of file formats, including TIFF, JPEG, and RAW.

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Lab products found in correlation

Phd 2000, by Harvard Apparatus (1 mentions)

4 protocols using phantom v310

Visualizing Respiratory Droplet Dynamics

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A high‐speed pulsed laser (LDY303HE PIV, Litron Lasers Ltd., United Kingdom) with a plano‐concave lens was used to create a divergent laser sheet at a 1000 Hz frequency. The laser was synchronized with a high‐speed camera (Phantom V310, Vision Research, USA) set at a 200 Hz frequency and placed perpendicular to the sheet.
The participants were placed under the laser sheet with adequate protective eyewear for the following measurements: (1) flexible laryngoscopy with and without surgical mask, (2) sneeze (three times) followed by three rounds of simulated cough. The measurement setup is shown on Figure 1C. The measurements were repeated three times for every participant. Every laryngoscopy measurement lasted 13 s during which 2734 images were taken. For every sneezing and speaking followed by coughing measurement, 1300 images were taken in a 6‐s time frame. Post‐processing of the images was performed using Matlab “Image Processing Toolbox.” Images were cropped to a 625 × 800 pixel size to remove the participant's face and then binarized to identify particles using a fixed threshold on every image. For laryngoscopy images only, an additional filter removing objects bigger than 20 px² was implemented to reduce the errors of interpretation caused by the scope.

B. Cardin G., Rivest D., Ayad T., Robert É., Rahal A, & Christopoulos A. (2022). Quantification and visualization of aerosols in ear, nose, and throat exam and flexible laryngoscopy. Laryngoscope Investigative Otolaryngology, 7(4), 963-969.

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High-Speed Schlieren Imaging Technique

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A conventional Z-type Schlieren visualization technique that uses a high-speed camera (Phantom V310, Vision Research, USA) and an LED light source were used to obtain time resolved high speed images. The Schlieren system was triggered using the pressure sensor at the end of the driven section.

Subburaj J., Datey A., Gopalan J, & Chakravortty D. (2017). Insights into the mechanism of a novel shockwave-assisted needle-free drug delivery device driven by in situ-generated oxyhydrogen mixture which provides efficient protection against mycobacterial infections. Journal of Biological Engineering, 11, 48.

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Bead Tracking in Microfluidic Channels

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The bead capture experiment was performed by using beads and flow rates described above in microfluidic channels functionalized with neutravidin. A total of 20 000 beads were injected in the channel for each experiment. All bead populations were assayed in triplicates. After the bead capture experiment, the still images of the channel were acquired with a 10× objective. Under this magnification, 24 images were required to cover the area where beads were captured. The images were then stitched together, and the physical location of each bead was determined using custom written macros in FIJI.¹⁷ The coordinates of beads so obtained were exported to an excel file for further analysis in MATLAB.¹⁸
To record the trajectories of beads around the pillars, the beads in the buffer were injected at flow rates described above in a channel blocked with BSA. The motion of beads was recorded at 2000 frames/s using a high speed camera (Vision Research Inc., Phantom v310). To obtain the coordinates of beads in each frame of the movie, a macro was written in FIJI. The coordinates of all the beads in all the frames were exported to an excel file for further analysis. We used the particle tracking code developed by John Crocker and Eric Weeks¹⁹ in MATLAB to track each bead in the channel.

Ghonge T., Ganguli A., Valera E., Saadah M., Damhorst G.L., Berger J., Pagan Diaz G., Hassan U., Chheda M., Haidry Z., Liu S., Hwu C, & Bashir R. (2017). A microfluidic technique to estimate antigen expression on particles. APL Bioengineering, 1(1), 016103.

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Holographic Imaging of Microscale Flows

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The holographic setup consists of a laser torch (LDM 635, Thorlabs, NJ, USA) placed in a 3D-printed housing. The emitted laser beam (λ = 635 nm, 4 mW, diameter: 3 mm × 5 mm) serves as a coherent light source and is operated in the continuous wave (CW) mode. The imaging field of view (FOV) is 800 × 800 (in pixels) and the depth of field (or channel depth) is 330 μm. The flow is actuated by a syringe pump (PHD 2000, Harvard Apparatus). The flow rates of the sample and sheath fluid streams are 2.5 and 0.5 mL min⁻¹ respectively, resulting in a total flow rate of 3.5 mL min⁻¹. A frame rate of 420 frames per seconds is used in our experiments. The holograms are magnified by a 20× (1 μm per pix.) objective (20×, NA = 0.45, Olympus) with the hologram plane located 200 μm below the microchannel floor. Subsequently, they are recorded on a CMOS sensor of a high-speed camera (Phantom v310, Vision Research), facilitated by the PCC software (Phantom, Vision Research). An exposure time of 35 μs is used. 10 100 raw holograms are captured in order to image 1 mL of sample volume which takes about 24 seconds at the imposed frame rate.

Gangadhar A., Sari-Sarraf H, & Vanapalli S.A. (2023). Deep learning assisted holography microscopy for in-flow enumeration of tumor cells in blood. RSC Advances, 13(7), 4222-4235.

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