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Increasing Cell Sorting Recovery Using the Simple "Three-Puddle Method".

María José Castro Pérez1, Carl Henderson1

  • 1Instituto de Biomedicina de Sevilla, IBiS/Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain.

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Summary
This summary is machine-generated.

A new Three-Puddle Method (3PM) optimizes cell sorter drop delay (DD) calculations for improved recovery of target particles. This simple protocol enhances sorting accuracy for various cell types and precious samples.

Keywords:
(Rmax)beadscellsdrop delay (DD)recoverysortthree‐puddle method (3PM)

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Area of Science:

  • Biotechnology
  • Cell Biology
  • Analytical Chemistry

Background:

  • Cell sorter recovery is critical, depending on precise drop delay (DD) timing.
  • Current DD calculations often use manufacturer beads, leading to mismatches with actual sample sorting.
  • Optimizing DD is essential for accurate cell sorting and downstream applications.

Purpose of the Study:

  • To introduce and validate the Three-Puddle Method (3PM) for optimizing drop delay (DD) in cell sorters.
  • To improve cell sorting recovery rates across diverse particle types and sizes.
  • To provide a simple, low-cell-expenditure protocol for accurate DD calculation.

Main Methods:

  • The Three-Puddle Method (3PM) was adapted from jet-in-air sorter procedures for cuvette-based systems.
  • 3PM optimizes DD values based on the specific particle being sorted.
  • Drop delay (DD) optimization was validated against the Rmax protocol, a recovery metric.

Main Results:

  • 3PM-calculated DD values showed strong correlation with optimum DD settings determined by the Rmax protocol.
  • The method enhances sort recovery for a range of cell sizes and particle types.
  • 3PM offers a simple, low-cost alternative to traditional DD calibration methods.

Conclusions:

  • The Three-Puddle Method (3PM) is an effective and accessible protocol for optimizing cell sorter drop delay (DD).
  • 3PM improves sorting recovery and is particularly beneficial for rare or precious samples.
  • This method supports more reliable single-cell and bulk sorting for downstream analyses.