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Related Experiment Video

Updated: Jul 9, 2026

Mechanical Micronization of Lipoaspirates for Regenerative Therapy

Mechanical Micronization of Lipoaspirates for Regenerative Therapy

Published on: March 15, 2019

A Multivariate Meta-Analysis for Optimizing Cell Counts When Using the Mechanical Processing of Lipoaspirate for

Gershon Zinger¹, Nia Kepes², Ron Kenett^3,4

¹Hand Unit, Department of Orthopedic Surgery, Shaare Zedek Medical Center, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem 91120, Israel.

|December 23, 2023

Summary

Mechanical processing of lipoaspirate is ideal for regenerative cells. This study optimized mechanical lipoaspirate processing using a statistical model, identifying key factors to maximize regenerative cell yield.

Keywords:

JMP®lipoaspirate mechanical processing meta-analysis multivariate optimization

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Last Updated: Jul 9, 2026

Mechanical Micronization of Lipoaspirates for Regenerative Therapy

Mechanical Micronization of Lipoaspirates for Regenerative Therapy

Published on: March 15, 2019

Human Adipose Tissue Micro-fragmentation for Cell Phenotyping and Secretome Characterization

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Technique for Obtaining Mesenchymal Stem Cell from Adipose Tissue and Stromal Vascular Fraction Characterization in Long-Term Cryopreservation

Technique for Obtaining Mesenchymal Stem Cell from Adipose Tissue and Stromal Vascular Fraction Characterization in Long-Term Cryopreservation

Published on: December 30, 2021

Area of Science:

Regenerative Medicine
Biotechnology
Tissue Engineering

Background:

Lipoaspirate is a preferred source for regenerative cells.
Mechanical processing offers advantages over enzymatic methods but yields fewer cells.
Optimal extraction techniques for mechanical processing remain undetermined.

Purpose of the Study:

To identify optimal mechanical processing parameters for lipoaspirate.
To develop a predictive model for maximizing regenerative cell yield.
To determine the influence of various factors on cell extraction efficiency.

Main Methods:

Comprehensive literature search focused on mechanical lipoaspirate processing.
Multivariate meta-analysis to integrate data from selected studies.
Development of a statistical-based predictive model for processing variables.

Main Results:

Six studies with 117 patients were analyzed.
Optimal mechanical processing involved 2000× g centrifugation for 10 min, a 2 mm cannula diameter, and 30 intra-syringe passes.
Higher BMI and younger age were identified as optimal patient factors for cell yield.

Conclusions:

A novel method combined data across studies to optimize mechanical lipoaspirate processing.
The developed model predicts optimal conditions for maximizing regenerative cell yield.
This research provides a statistically-based approach to enhance mechanical cell extraction.