Flow cytometry

BostonGene offers state-of-the-art flow cytometry solutions, including analytical flow cytometry and cell sorting, to assess immune system status from a standard blood sample.

Our unique immune system profiling platform supports biomarker discovery for therapy response and adverse event prediction.

Flexible panel selection, tailored to meet specific research needs

Basic immunoprofiling CAP/CLIA

10 panels, including B-, T-, NK- cells, monocytes and DC
61 unique markers
> 800 cell populations and activation states, including biomarker populations (ICOS, PD1, TIGIT)

Advanced immunoprofiling

4 panels, including B-, T-, NK- cells, monocytes, DC and ILC
78 unique markers, including intracellular markers
> 2,000,000 cell populations and activation states, including CAR-T cells monitoring

Tumor cells immunophenotyping

1 Bone Marrow Multiple Myeloma Panel
25 unique markers
~9 cell populations, including plasma cells

AI-based model for automated cell labeling

BostonGene utilizes a proprietary AI-based model to provide complete blood count (CBC), as well as percentage and absolute counts of immune cell populations in CLIA/CAP settings.

Shortened processing time
Exclusion of variability in data interpretation originating from manual labeling
High-quality and deep single-cell resolution

Advanced immune system profiling platform

BostonGene goes beyond standard immunoprofiling by identifying patients' immune status (immunotypes) linked to therapy response from a standard blood sample.

More accurate prediction of response to immunotherapy compared to conventional biomarker analysis
Elimination of key challenges in TME analysis of tissue biopsies, such as sample acquisition and tumor heterogeneity
Discovery and orthogonal validation in nearly 20,000 healthy individuals and patients across a wide range of diagnoses, including cancer

Technical specifications

More about sample requirements

Explore BostonGene’s publications that demonstrate
the utility of flow cytometry analysis

Blood • November 28, 2023

Machine Learning (ML)-Enabled Automation for High-Throughput Data Processing in Flow Cytometry

Article

Journal of Immunotherapy of Cancer • October 31, 2023

222-K Integrated immunoprofiling and RNA sequencing (RNA-seq) for anti-PD-1 response prediction in head and neck squamous cell carcinomas (HNSCC)

Article

Helpful resources

Analytical and clinical capabilities Clinical research solutions Laboratory capabilities Solutions for patients stratification and research Discovery solutions sample requirements