Labtools.AI unveils digital image-based flow cytometry platform

Labtools.AI has launched its innovative digital flow cytometry platform for image-based flow cytometry (IBFC). This new platform enables the digital expression profiling of up to 1000 proteins per cell without the need for traditional labeling methods, typically limited to analyzing <10 proteins per cell.

The Labtools.AI platform leverages custom trained machine learning algorithms to digitally generate IBFC protein expression, enabling researchers to conduct comprehensive cellular analysis on more proteins, facilitating deeper insights into cellular functions and biomarker discovery.

Key features and benefits include:

• Label-free analysis: Eliminates the need for costly and time-consuming labeling protocols
• Higher throughput: Capable of generating digital expression profiles for up to 1000 proteins per cell, instead of <10 proteins using traditional methods
• Improved efficiency: Analyzing automatically reduces human error and increases reproducibility, while saving an estimated 4–6 hours per experiment preparing samples
• Integrated data management: Seamlessly integrates with existing LIMS and ELN systems, ensuring easy management and accessibility of data

"Our digital flow cytometry platform is a game changer for the scientific community, especially in fields requiring detailed cellular analysis such as oncology, immunology, and drug discovery," says Dr. Joe Webb, CEO & Founder at Labtools.AI. "By eliminating the need for antibody-based labeling, our platform reduces the time and cost of cell lengthy labeling protocols but also avoids complicated antibody panel designs to minimize fluorescent overlap."

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