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Artificial Intelligence
This Cell Press Selection explores the potential of AI for improving therapeutic development and patient outcomes.

APP NOTE

Label-free Identification of Proliferative hMSCs

APP NOTE

Classification of mitochondrial morphology in activated T cells

APP NOTE

Intracellular Protein Aggregation as a High Content Readout in Flow-Based Phenotypic Drug Discovery

Video

Ghost Cytometry Explained in 2 minutes

Video

Introduction to the VisionSort Platform

Video

Ghost Cytometry Explained in 2 minutes (JPN/日本語)

Poster

Ghost Cytometry for Functional Genomics Screening

Poster

A Label-free Method to Determine the Glycolytic State of T cells for CAR T Generation

Poster

Label-free assessment of B cell differentiation by Ghost Cytometry

Poster

Characterization and label-free isolation of phenotypically defined human immune cells using Ghost Cytometry

Brochure

VisionSort Technical Specifications

Brochure

VisionSort Brochure

Brochure

VisionSort Brochure (JPN/日本語)

App Note

Label Free Detection of Subtle Morphological Differences in Immune Cells

App Note

Classification of Cellular Diversity and Disease Assessment in ALL

App Note

Label-free Macrophage Subtyping

App Note

Regulatory T cell Characterization and Isolation

App Note

T cell Activation

App Note

Label-Free High Throughput CRISPR-Based Screening for Morphological Phenotypes in Flow

App Note

High Throughput CRISPR-Based Phenotypic Screening in Flow for Complex Intracellular Phenotypes

App Note

Intracellular Phenotyping with Enhanced Spatial Resolution in Flow

App Note

Identification and Isolation of CAR-T Cells with Enhanced Therapeutic Efficacy

App Note

Label-free Assessment of Cell Viability

App Note

B cell Plasma Cell Differentiation

PUBLICATIONS

Cell Reports Methods

Pooled CRISPR screening of high-content cellular phenotypes using ghost cytometry

Asako Tsubouchi, Yuri An, Yoko Kawamura, et al.
Cell Rep Methods . 2024 Mar 25;4(3):100737. doi: 10.1016/j.crmeth.2024.100737.
Stem Cell Reports

Label-free enrichment of human pluripotent stem cell-derived early retinal progenitor cells for cell-based regenerative therapies

Yasuaki Iwama, Hiroko Nomaru, Tomohiro Masuda, et al.
Stem Cell Reports . 2024 Feb 13;19(2):254-269. doi: 10.1016/j.stemcr.2023.12.001.
Cytometry A

Label-free cell detection of acute leukemia using ghost cytometry

Yoko Kawamura, et al.
Cytometry A . 2024 Mar;105(3):196-202. doi: 10.1002/cyto.a.24821.
bioRxiv

Label-free ghost cytometry for manufacturing of cell therapy products

Kazuki Teranishi, Keisuke Wagatsuma, et al.
bioRxiv 2023.07.14.23292646. https://doi.org/10.1101/2023.07.14.23292646
eLife

In silico-labeled ghost cytometry

Masashi Ugawa, Yoko Kawamura, Sadao Ota, et al.
2021 Dec 13; 10:e67660. doi: 10.7554/eLife.67660
Cytometry A.

Use of Ghost Cytometry to Differentiate Cells with Similar Gross Morphologic Characteristics

Hiroaki Adachi, et al.
Apr 2020; Vol.97(4):415-422. doi: 10.1002/cyto.a.23989.
Microscopy.

Implementing machine learning methods for imaging flow cytometry

Sadao Ota, Issei Sato, Ryoichi Horisaki
8 Apr 2020; Vol.69(2):61-68. doi: 10.1093/jmicro/dfaa005.
Science.

Ghost Cytometry

Sadao Ota, Ryoichi Horisaki, Yoko Kawamura, Masashi Ugawa, et al.
15 June 2018; Vol.360, Issue 6394, doi: 10.1126/science.aan0096