Deepcell Garners Industry Recognition for Disruptive AI-Driven Approach to Single Cell Morphology Analysis

MENLO PARK, Calif.–()–Deepcell, a pioneer in artificial intelligence (AI)-powered single-cell analysis to fuel deep biological discoveries, today shared the news of two significant industry recognitions as it prepares for upcoming scientific meetings. The company plans to share five public datasets from its REM-I platform and demo its Axon data suite at the upcoming annual meeting of the Association of Molecular Pathology (November 14-18, 2023 in Salt Lake City, Utah) and Cell Bio 2023, the joint meeting of the American Society for Cell Biology and European Molecular Biology Organization (December 2-6, 2023 in Boston, Mass.).

Earlier this year, Deepcell launched the REM-I platform, a high-dimensional cell morphology analysis and sorting platform which comprises the REM-I benchtop instrument, Human Foundation Model, and Axon data suite. By bringing together single cell imaging, sorting, and high-dimensional analysis, the REM-I platform catalyzes new methods of discovery in a wide range of fields including cancer biology, developmental biology, stem cell biology, gene therapy and functional screening, among others.

Unlike microscopy and flow cytometry methods, the REM-I platform offers several unique capabilities for the deep characterization of biological samples, single cells, and the ability to sort cells without the need for labels. By marrying high-resolution imaging of single cells and label-free sorting with artificial intelligence in one platform, the REM-I platform enables a high-throughput, quantitative way to understand and analyze the morphology of cells, unlocking new biotechnological discoveries.

Deepcell CEO Maddison Masaeli Receives Life Science Catalyst Award

Maddison Masaeli was recently named as one of ten Life Science Catalyst Award winners by Biocom California, the association representing the California life science industry. The awards celebrate the most inspiring and driven young minds who are sparking meaningful change to human health through research, discovery, and entrepreneurship in California. She and her fellow awardees will be celebrated at the Biocom California’s “Celebration of Life” dinner on November 16, 2023.

Deepcell REM-I Platform Named Cell Imaging Product of the Year

Deepcell’s REM-I platform was selected as “Cell Imaging Product of the Year,” one of only four breakthrough innovations in the field of cell biology, in the third annual BioTech Breakthrough Awards. The awards program is conducted by BioTech Breakthrough, a leading independent market intelligence organization that evaluates and recognizes standout life sciences and biotechnology companies, products, and services around the globe.

“These awards are a validation of the significance of AI-based phenotyping to the future of biomedical research, and a testament to the impact of technologies like ours across the life sciences industry,” said Maddison Masaeli, Ph.D., cofounder and chief executive officer at Deepcell. “We look forward to sharing additional data generated with our platform at the annual meetings of the Association of Molecular Pathology and American Society for Cell Biology to continue to demonstrate the robustness of our REM-I platform.”

Association for Molecular Pathology Annual Meeting Presentation Details

Poster Presentation

Title: Morphology profiling driven by deep learning characterizes functional changes in CRISPR knockout cell lines

Poster Number: ST129

Presentation Details: Saturday, November 18, 2023, 9:15 – 10:15 a.m. MST

Presenter: Kiran Saini, Senior Data Scientist, Deepcell

Cell Bio 2023 Presentation Details

Session Presentation

Title: Self-supervised Foundation Model Captures High-dimensional Morphology Data from Single Cell Brightfield Images

Presentation Details: Deep Learning and Artificial Intelligence in Cell Imaging subgroup, Saturday, December 2, 2023, 2:55 – 3:05 p.m. EST

Presenter: Manisha Ray, Sr. Scientific Affairs Liaison at Deepcell

Session Presentation

Title: Integrating Deep Learning Morphology Profiling and Single Cell RNA-Seq Reveals Tumor Heterogeneity and Enriches Sub-populations

Presentation Details: Beyond Pretty Pictures: Quantitative Methods for Learning Cell Biology from Microscopy Datasets subgroup, Wednesday, December 6, 2023, 8:35 – 8:51 a.m. EST

Presenter: Vivian Lu, Sr. Scientific Affairs Liaison at Deepcell

For more information about the REM-I platform, visit Deepcell at AMP in booth #1522 or at Cell Bio 2023 in booth #740, or visit https://deepcell.com/product/.

About Deepcell

Deepcell is a life science company which brings artificial intelligence to cell biology, unlocking a new field of high-dimensional biological discovery known as morpholomics. Through Deepcell’s AI-powered imaging and microfluidics solution, the REM-I Platform, the company is enabling a new scale of cell biology research and single cell analysis leveraging cellular morphology for unbounded discovery. Deepcell’s platform leverages its artificial intelligence model, the Human Foundation Model, to identify and sort cells based on morphological distinctions helping power basic and translational research and offering future applications in diagnostic testing and therapeutics targeting. The company was spun out of Stanford University in 2017 and has raised nearly $100 million in venture capital. It is based in Menlo Park, California. Learn more at www.deepcell.com or follow us on LinkedIn, Twitter, and YouTube.

Source: http://www.businesswire.com/news/home/20231114787784/en/Deepcell-Garners-Industry-Recognition-for-Disruptive-AI-Driven-Approach-to-Single-Cell-Morphology-Analysis/?feedref=JjAwJuNHiystnCoBq_hl-bQQCakZDujohEJegUyaJwquReQ0P23MrIoWkrUSV24ZevRMp3sIgu8q3wq1OF24lT93qbEzrwa15HGbLqMObxbNWfZlBntHS6jpH5ROLXsTFMkl05DM8ABqeyBleEmzJA==

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