Real-time monitoring of biomechanical activity in aphids by laser speckle contrast imaging

Opt Express. 2021 Aug 30;29(18):28461-28480. doi: 10.1364/OE.431989.

Abstract

Studying in vivo feeding and other behaviors of small insects, such as aphids, is important for understanding their lifecycle and interaction with the environment. In this regard, the EPG (electrical penetration graph) technique is widely used to study the feeding activity in aphids. However, it is restricted to recording feeding of single insects and requires wiring insects to an electrode, impeding free movement. Hence, easy and straightforward collective observations, e.g. of groups of aphids on a plant, or probing other aphid activities in various body parts, is not possible. To circumvent these drawbacks, we developed a method based on an optical technique called laser speckle contrast imaging (LSCI). It has the potential for direct, non-invasive and contactless monitoring of a broad range of internal and external activities such as feeding, hemolymph cycling and muscle contractions in aphids or other insects. The method uses a camera and coherent light illumination of the sample. The camera records the laser speckle dynamics due to the scattering and interference of light caused by moving scatters in a probed region of the insect. Analyzing the speckle contrast allowed us to monitor and extract the activity information during aphid feeding on leaves or on artificial medium containing tracer particles. We present evidence that the observed speckle dynamics might be caused by muscle contractions, movement of hemocytes in the circulatory system or food flows in the stylets. This is the first time such a remote sensing method has been applied for optical mapping of the biomechanical activities in aphids.

MeSH terms

  • Animals
  • Aphids / physiology*
  • Biomechanical Phenomena
  • Equipment Design
  • Feeding Behavior
  • Hemolymph / physiology
  • Laser Speckle Contrast Imaging / methods*
  • Muscle Contraction / physiology
  • Plants / parasitology
  • Remote Sensing Technology
  • Salivation