Toolkit/Particle Image Velocimetry (PIV)

Particle Image Velocimetry (PIV)

Assay Method·Research·Since 2025

Also known as: PIV

Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.

Summary

We found that AgRP1 neuron activation in transgenic larvae led to a significantly higher food-consumption behavior than wildtype larvae when analyzed using Particle Image Velocimetry (PIV) to calculate the food particle velocity initiated by larval suction behavior.

Usefulness & Problems

Why this is useful

PIV was used to calculate food particle velocity initiated by larval suction behavior. In this study it served as the quantitative readout for increased food-consumption behavior.; quantifying food particle velocity initiated by larval suction behavior; analyzing food-consumption behavior in zebrafish larvae

Source:

PIV was used to calculate food particle velocity initiated by larval suction behavior. In this study it served as the quantitative readout for increased food-consumption behavior.

Source:

quantifying food particle velocity initiated by larval suction behavior

Source:

analyzing food-consumption behavior in zebrafish larvae

Problem solved

It gives a quantitative way to measure feeding-associated suction behavior rather than relying only on qualitative observation. This supports comparison between transgenic and wild-type larvae.; provides a quantitative readout for larval suction-associated food intake behavior

Source:

It gives a quantitative way to measure feeding-associated suction behavior rather than relying only on qualitative observation. This supports comparison between transgenic and wild-type larvae.

Source:

provides a quantitative readout for larval suction-associated food intake behavior

Problem links

provides a quantitative readout for larval suction-associated food intake behavior

Literature

It gives a quantitative way to measure feeding-associated suction behavior rather than relying only on qualitative observation. This supports comparison between transgenic and wild-type larvae.

Source:

It gives a quantitative way to measure feeding-associated suction behavior rather than relying only on qualitative observation. This supports comparison between transgenic and wild-type larvae.

Published Workflows

Objective: To test whether optogenetic activation of AgRP1 neurons in zebrafish larvae increases food-intake behavior.

Why it works: The workflow couples targeted expression of an optogenetic actuator in AgRP1 neurons with behavioral quantification of larval suction-associated food intake, allowing causal testing of whether activating this neuronal population changes feeding behavior.

optogenetic activation of AgRP1 neuronsbehavioral output of hunger-circuit stimulationtransgenic line generationoptogenetic stimulationPIV-based behavioral quantification

Stages

  1. 1.
    Transgenic model generation(library_build)

    This stage establishes the engineered animal model needed for targeted optical control of AgRP1 neurons.

    Selection: Create a zebrafish line expressing ChR2-Kaede in AgRP1 neurons.

  2. 2.
    Behavioral comparison after AgRP1 activation(functional_characterization)

    This stage tests whether targeted AgRP1 activation produces the expected feeding-related phenotype in larvae.

    Selection: Compare suction behavior and food-consumption behavior between transgenic and wild-type larvae after AgRP1 neuron activation.

  3. 3.
    PIV-based quantitative readout(confirmatory_validation)

    This stage provides a quantitative analysis method for the feeding-related behavioral phenotype.

    Selection: Use PIV to calculate food particle velocity initiated by larval suction behavior.

Taxonomy & Function

Primary hierarchy

Technique Branch

Method: A concrete measurement method used to characterize an engineered system.

Target processes

No target processes tagged yet.

Implementation Constraints

cofactor dependency: cofactor requirement unknownencoding mode: genetically encodedimplementation constraint: context specific validationoperating role: sensor

It requires imaging of larval feeding behavior with visible food particle movement and a PIV analysis workflow. The abstract does not specify software or acquisition settings.; requires imaging data suitable for PIV analysis; requires measurable food particle movement initiated by larval suction behavior

The abstract does not show that PIV alone captures all aspects of feeding, satiety, or neural activity. It also does not establish how it compares with other appetite assays.; abstract does not provide pipeline details, thresholds, or validation against other feeding assays

Validation

Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication

Supporting Sources

Ranked Claims

Claim 1application resultsupports2025Source 1needs review

Optogenetic triggering of AgRP1 neurons in zebrafish larvae increased food-intake behavior.

For the first time, we observed food-intake behavior in zebrafish larvae by optogenetically triggering AgRP1 neurons.
Claim 2comparative behavior resultsupports2025Source 1needs review

AgRP1 neuron activation in Tg(AgRP1:ChR2-Kaede) larvae led to significantly higher food-consumption behavior than in wild-type larvae.

We found that AgRP1 neuron activation in transgenic larvae led to a significantly higher food-consumption behavior than wildtype larvae when analyzed using Particle Image Velocimetry (PIV) to calculate the food particle velocity initiated by larval suction behavior.
food-consumption behavior significantly higher
Claim 3use casesupports2025Source 1needs review

The Tg(AgRP1:ChR2-Kaede) zebrafish model is useful for studying hunger-related behaviors, underlying neural circuits, and responses to chemical stimuli.

These findings in this novel transgenic zebrafish model would be useful in studying various hunger-related behaviors, their underlying neural circuits, and substrates subjected to different chemical stimuli, including drugs of abuse.

Approval Evidence

1 source1 linked approval claimfirst-pass slug particle-image-velocimetry-piv
We found that AgRP1 neuron activation in transgenic larvae led to a significantly higher food-consumption behavior than wildtype larvae when analyzed using Particle Image Velocimetry (PIV) to calculate the food particle velocity initiated by larval suction behavior.

Source:

comparative behavior resultsupports

AgRP1 neuron activation in Tg(AgRP1:ChR2-Kaede) larvae led to significantly higher food-consumption behavior than in wild-type larvae.

We found that AgRP1 neuron activation in transgenic larvae led to a significantly higher food-consumption behavior than wildtype larvae when analyzed using Particle Image Velocimetry (PIV) to calculate the food particle velocity initiated by larval suction behavior.

Source:

Comparisons

Source-stated alternatives

The abstract does not explicitly name alternative quantification methods for food intake.

Source:

The abstract does not explicitly name alternative quantification methods for food intake.

Source-backed strengths

used to calculate food particle velocity as a behavioral quantification method

Source:

used to calculate food particle velocity as a behavioral quantification method

Particle Image Velocimetry (PIV) and Langendorff perfused heart electrical recordings address a similar problem space.

Shared frame: same top-level item type

Strengths here: looks easier to implement in practice.

Particle Image Velocimetry (PIV) and native green gel system address a similar problem space.

Shared frame: same top-level item type

Strengths here: looks easier to implement in practice.

Particle Image Velocimetry (PIV) and sub-picosecond pump-probe analysis of bacteriorhodopsin pigments address a similar problem space.

Shared frame: same top-level item type

Strengths here: looks easier to implement in practice.

Ranked Citations

  1. 1.

    Extracted from this source document.