/

/

Quantitative Analysis of Microbial Autoaggregation Using Imaging Flow Cytometry

/

Author Spotlight: Advancing Research in Microbial Autoaggregation Using Imaging Flow Cytometry

Journal JoVE
Biologie

Un abonnement à JoVE est nécessaire pour voir ce contenu. Connectez-vous ou commencez votre essai gratuit.

Journal JoVE Biologie

Imaging Flow Cytometry to Study Microbial Autoaggregation

Author Spotlight: Advancing Research in Microbial Autoaggregation Using Imaging Flow Cytometry

Quantitative Analysis of Microbial Autoaggregation Using Imaging Flow Cytometry

DOI:

10.3791/65788-v

•

01:06 min

•

September 29, 2023

•

Ronit Suissa, Uzi Hadad, Michael Meijler, Ilana Kolodkin-Gal⁴

¹Department of Chemistry,Ben-Gurion University of the Negev, ²Ilse Kats Institute for Nanoscale Science & Technology,Ben-Gurion University of the Negev, ³Department of Plant Pathology and Microbiology, Faculty of Agriculture, Food and Environment,The Hebrew University of Jerusalem, ⁴The Scojen institute for synthetic biology,Reichman university

Tags

Imaging Flow Cytometry Autoaggregation Lactobacillus Probiotic Bacteria Carbohydrates High-throughput Analysis Single-cell Analysis Microscopy Flow Cytometry Morphometric Measurements

Embed

AJOUTER À LA PLAYLIST

Usage Statistics

Vidéos Connexes

Author Spotlight: Advancing Research in Microbial Autoaggregation Using Imaging Flow Cytometry

Lactobacillaceae Sample Preparation for Flow Cytometric Analysis

Flow Cytometric Data Acquisition of Microbial Aggregates

Read Article