Background:

Videographic material of animals can contain inapparent signals, such as color changes or motion that hold information about physiological functions, such as heart and respiration rate, pulse wave velocity and vocalization. Eulerian video magnification allows enhancement of such signals to enable their detection. The purpose of this study is to demonstrate how signals relevant to experimental physiology can be extracted from non-contact videographic material of animals.

Results:

We applied Eulerian video magnification to detect physiological signals in a range of experimental models and in captive and free ranging wildlife. Neotenic Mexican axolotls were studied to demonstrate the extraction of heart rate signal of non-embryonic animals from dedicated videographic material. Heart rate could be acquired both in single and multiple animal setups of leucistic and normally colored animals under different physiological conditions (resting, exercised or anesthetized) using a wide range of video qualities. Pulse wave velocity could also be measured in the low blood pressure system of the axolotl as well as in the high pressure system of the human being. Heart rate extraction was also possible from videos of conscious, unconstrained zebrafish and from non-dedicated videographic material of sand lizard and giraffe. This technique also allowed for heart rate detection in embryonic chickens in ovo through the eggshell and in embryonic mice in utero, and could be used as a gating signal to acquire two-phase volumetric micro-CT data of the beating embryonic chicken heart. Additionally, Eulerian video magnification was used to demonstrate how vocalization induced vibrations can be detected in infrasound producing Asian elephants. 

Conclusions:

Eulerian video magnification provides a technique to extract inapparent temporal signals from videographic material of animals. This can be applied in experimental and comparative physiology where contact based recordings (e.g. heart rate) cannot be acquired.

This dataset consists of 232 source video files in either MP4 or MOV format acquired with smartphone or DSLR cameras.

The file name of each source video file is structured according to the following hierarchy:

1_2_3_4_5_6_7_8 where numbers refer to 1: Species name; 2: Animal#; 3: Animal strain if relevant; 4: Experiment specific information 1; 5: Experiment specific information 2; 6: Spatial resolution of video; 7: Temporal resolution of video; 8: Camera name, for example:

(1)Amex_(2)Axolotl1_(3)Leucistic_(4)Anaesthetized_(5)LateralViewWithUltrasound_(6)1920x1080px^2_(7)30fps_(8)SamsungGlaxyS6.