A High Speed Imaging System for Research on Ultrafast, Repeated Use Materials and Systems

Abstract

The smallest, fastest, repeated-use movements on the planet are generated by organisms. Such extreme, non-destructive performance is achieved through tuned, dynamic interactions of multiple integrated components, specifically through the loading of energy into elastic deformation of materials, control of energy loading and release through latch mechanisms, and the generation of extreme accelerations powered by elastically recoiling materials. At submillisecond and sub-millimeter scales, the dynamics of energy flow and control of these systems have been invisible or just barely resolved even with state-of-the-art high speed imaging. As such, engineers striving to match the performance of these fast systems and scientists attempting to experimentally solve their ultrafast dynamics are regularly thwarted by the simple process of visualization. Rigorous analysis, modeling and synthesis require sufficiently resolved temporal and spatial dynamics. Effective visualization of whole system output and component interactions is now feasible with the acquired high speed imaging system (Pharsighted imaging system, Model E9-80S, Photron). The ultra high-speed imaging system is entirely new to the market and, according to the company, is the worlds first backside-illuminated, full-frame high speed camera. The camera has extreme light sensitivity, which is the crucial piece for working with organisms and resolving subtle optical shifts. In addition, it has incredible resolution and frame rates, such as, 640 x 480 pixels at 272,000fps; 640 x 384 pixels at 336,000fps; 640 x 256 pixels at 492,000fps; 640 x 128 pixels at 918,000fps; 2,457,000fps at 640 x 32. We are able to film previously invisible movements without any exceptional additional lighting. These capabilities more than triple the usable frame rate and pixel resolution of the high speed imaging systems currently in use.

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Document Details

Document Type
Technical Report
Publication Date
Apr 30, 2023
Accession Number
AD1226856

Entities

People

  • Sheila Patek
  • Stephen L Craig

Organizations

  • Duke University

Tags

Fields of Study

  • Physics

Readers

  • Economics
  • Image Processing and Computer Vision.
  • Structural Dynamics.