Academia

Chronos high-speed camera systems offer the framerate, video quality and price-point critical to researchers at R&D facilities and Universities.

High-Speed Cameras for Academic Research & Development

Chronos high-speed camera systems offer the framerate, video quality and price-point critical to researchers at Universities.

The Chronos camera is suitable for recording complex phenomena that researchers, scientists, and graduate students aim to elucidate. The imaging system can be used in a wide range of departments from Chemistry to Physics, to Aerospace. Measurement techniques for fluid mechanics such as fluorescent microscopy, Schlieren Imaging, and Particle Image Velocimetry (PIV) are frequently applied in some of the leading R&D facilities in the world. Kron Technologies offers several options to fit a wide range of research studies.

Some recent applications of Chronos cameras include a cell traction force measurement strategy[1], the monitoring of a microbubble growth on an optical fiber[2], the characterization of the mechanical properties of cells[3], and the visualization of droplets levitating in an acoustic field[4].

Chronos cameras can record at up to 1000 fps at full resolution.  At reduced resolution, the 1.4 Chronos camera can record at a maximum of 40,413 fps while the Chronos 2.1-HD camera can record at a maximum of 24,046 fps.

Our cameras offer all-in-one, high-resolution, high-frame rate solutions that empower demanding laboratory data analysis. Power up your camera and start recording high-speed footage in minutes with its easy-to-use interface. Also, extend the functionality of your camera by adding accessories such as lenses, and high-speed lighting. You can take a look at the accessories available at accessories – Kron Technologies.

Applications

  • Flow visualization
    • Fluorescent microscopy
    • Particle Image Velocimetry
    • Particle Tracking Velocimetry
    • Schlieren imaging
  • Ballistics Testing
  • Vibration Analysis
  • Biomechanics
  • Impact Testing
  • Robotics
  • Materials testing

References

  1. Tan, X.H.M., 2021. Cell Traction Force Measurement Platforms (Doctoral dissertation, UCLA).
  2. Ortega-Mendoza, J.G., Zaca-Morán, P., Padilla-Martínez, J.P., Muñoz-Pérez, J.E., Cruz, J.L. and Andrés, M.V., 2021. Monitoring the Growth of a Microbubble Generated Photothermally onto an Optical Fiber by Means Fabry–Perot Interferometry. Sensors, 21(2), p.628.
  3. Combs, C., Seith, D.D., Bovyn, M.J., Gross, S.P., Xie, X. and Siwy, Z.S., 2022. Deep learning assisted mechanotyping of individual cells through repeated deformations and relaxations in undulating channels. Biomicrofluidics, 16(1).
  4. Deng, R., 2021. Liquid Droplet Oscillations in an Acoustic Levitator (Doctoral dissertation, Northeastern University).

 

Some things to consider when choosing a high-speed camera for Academic research are:

Frame-rate

What is the duration and speed of the event?
Chronos range from 1,000 – 40,000 FPS / 3-16 seconds of record time.

Download Datasheet >

Resolution

What is the level of detail required to capture the event?
Chronos range from 1280x1024 to 1920x1080HD max resolution.

Download Datasheet >

Light Sensitivity

What is the lighting sensitivity/contrast required to capture the event?
Chronos range from ISO 320-16,000 depending upon model and sensor type (color or monochrome).

Download Datasheet >

Subject Matter

What is the size and distance from the subject?
Chronos offers a selection of lenses to capture events near or far.

Download Datasheet >

Chronos Cameras in Publications and Journal Articles

Cell Traction Force Measurement Platforms

Paper by Marvin Tan, PhD Dissertation, UCLA, 2021

In his Ph.D. dissertation, Marvin Tan proposes a couple of techniques to measure the traction stress sustained by cells using gold nanoparticles and optical tracers. The mechanical properties of cells and tissues play important roles in governing the behavior of biological systems, hence his research work is relevant to many fields. Furthermore, an attractive feature of the latter method proposed is that a 2D field of the dynamic mechanical stress distribution can be obtained. In this technique, color spectra are recorded by an array of diffractive micromirrors embedded in an elastomer substrate. 

Marvin incorporated a Chronos 2.1 HD high-speed camera into his Diffractive Optical Tracers, DOTS, device. 

See the full case study: Cell Traction Force Measurement Platforms

Monitoring the Growth of a Microbubble Generated Photothermally onto an Optical Fiber by Means Fabry–Perot Interferometry

Paper by J G Ortega-Mendoza, P Zaca-Morán, J P Padilla-Martínez,  J E Muñoz-Pérez, J L Cruz, and M V Andrés

In this paper, Ortega Mendoza et al. report on the experimental measurement of the growth of a microbubble that is generated on the tip of an optical fiber. They calculated the microbubble diameter by counting the number of fringes captured in an oscilloscope. The authors also compared those results with images from a Chronos 1.4 high-speed camera to verify the diameter of the bubble.

The researchers concluded that their proposed technique can be utilized to evaluate the microbubble dynamics that grow at the end of an optical fiber more cost-effectively compared to other methods. This is because the laser source is the same for the bubble creation as well as for the analysis of the microbubble growth on the fiber.

See the full case study: Monitoring the Growth of a Microbubble Generated Photothermally onto an Optical Fiber by Means Fabry–Perot Interferometry

Deep Learning Assisted Mechanotyping of Individual Cells Through Repeated Deformations and Relaxations in Undulating Channels

Paper by C Combs, D D Seith, M J Bovyn,; S P Gross, X Xie, and Z S Siwy

Comb et al. set out to find out the maximum potential classification accuracy for single cells. To that end, the authors conceived a microfluidic device that submits individual cells to repeated deformations. This provides them with essential mechanical parameters. They tracked the change of shape of individual cells using a high-speed imaging system, then extracted cell features using deep learning models.

Their imaging system contained a Chronos 1.4 high-speed camera. It recorded the cells passing through the microfluidic device at a frame rate of 11,000 fps with a pixel resolution of 0.26 μm/pixel. 

See the full case study: Deep Learning Assisted Mechanotyping of Individual Cells Through Repeated Deformations and Relaxations in Undulating Channels

Liquid Droplet Oscillations in an Acoustic Levitator

Paper by Ruihao Deng, MSc Dissertation, Northeastern University, 2021

An interesting scientific dissertation is provided by Ruihao Deng. In it, he captures beautiful images of liquid droplets levitating in an acoustic field. He reports two different resonant modes, a planar star-like shape and an out-of-plane bending mode a Chronos 1.4 high-speed camera was used to capture and analyze the droplet dynamics levitating in the acoustic field.

Dean was able to show that fundamental research work is possible in an affordable manner. His results open the possibility of exploring further applications of acoustic levitation in established as well as emerging fields. 

See the full case study: Liquid droplet oscillations in an acoustic levitator

Testimonial

Chronos cameras are an exceptional value for my research that focuses on investigating ice formation in cloud droplets

Paul Bieber

PHD Candidate, University of British Columbia

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