🚀 Exciting news! Our most recent installation at the American Dental Association has been launched into action. We are thrilled to work with Dr. Kevin Matthew Byrd, DDS, PhD’s exceptional team and look forward to the impact the REM-I will have at their Lab of Oral & Craniofacial Innovation! 🦷🔬🌟 #morpholomics #remi #DentalResearch #OralHealth #HealthTech #AmericanDentalAssociation
About us
Deepcell is pioneering new methods in single cell analysis by combining innovations in microfluidics, optics, and AI. Through these multiple lenses, we are magnifying insights into cells’ phenotype and function to address important research questions across biology.
- Website
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http://www.deepcell.com
External link for Deepcell
- Industry
- Biotechnology Research
- Company size
- 51-200 employees
- Headquarters
- Menlo Park, California
- Type
- Privately Held
Locations
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Primary
4025 Bohannon Dr
Menlo Park, California 94025, US
Employees at Deepcell
Updates
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🔥 Hot off the press! 🔥 Check out a new pre-print available at bioRxiv lead by Evelyn Lattmann and Mitch Levesque at Universitätsspital Zürich, titled ”Label-Free Melanoma Phenotype Classification Using Artificial Intelligence-Based Morphological Profiling”. Using the REM-I system, the group categorized patient-derived melanoma cells into melanocytic and mesenchymal phenotypes. Deepcell REM-I’s AI-enabled label-free method successfully predicted phenotypic shifts, as validated by scRNA-Seq. The study demonstrates a significant link between cell morphology and melanoma cell state, paving the way for AI-informed guidance in oncology applications. The data shows “significant potential for a variety of applications, advancing both biological and clinical research in melanoma”. #REMi #Morpholomics #Melanoma #Oncology #SkinCancer #HealthcareInnovation https://lnkd.in/gyYvBCXF
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Go ADA!
We are excited to share the recent installation of the REM-I instrument in our Lab of Oral & Craniofacial Innovation (LOCI)! The Deepcell REM-I is an advanced AI-powered benchtop instrument that captures high-resolution images of single cells at rapid speeds, all while maintaining a completely label-free workflow. Utilizing Deepcell's Human Foundation Model (HFM), this instrument can extract features from diverse cell images without the need for prior knowledge of specific cell types or markers. The ability to assess 115 dimensions of cell morphology will provide us with deeper insights into cell function and phenotype. As part of first use cases research, we plan to create as many as 100 million images of saliva cell populations over the next 6 months. These samples will come from healthy adults and pediatric subjects, as well as pediatric patients with Inflammatory Bowel Disease (IBD), collected at every follow-up visit. This extensive dataset will enable us to explore and compare the morphological differences in saliva cells across various health states, driving forward our understanding of oral and systemic health connections. We are excited to leverage the REM-I to push the boundaries of oral and craniofacial research, and we look forward to sharing our groundbreaking findings with the scientific community as part of our #IBDSCAN (Inflammatory Bowel Disease Salivary Cell Analysis Network) in collaboration with @Ajay Gulati from samples collected at the University of North Carolina at Chapel Hill Center for Gastrointestinal Biology & Disease led by Dr. Ajay Gulati and supported by the Crohn's & Colitis Foundation #Innovation #AI #Morpholomics #Oralsystemic #Crohns #Deepcell #LOCI #Saliva #IBD
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Deepcell reposted this
We are excited to share the recent installation of the REM-I instrument in our Lab of Oral & Craniofacial Innovation (LOCI)! The Deepcell REM-I is an advanced AI-powered benchtop instrument that captures high-resolution images of single cells at rapid speeds, all while maintaining a completely label-free workflow. Utilizing Deepcell's Human Foundation Model (HFM), this instrument can extract features from diverse cell images without the need for prior knowledge of specific cell types or markers. The ability to assess 115 dimensions of cell morphology will provide us with deeper insights into cell function and phenotype. As part of first use cases research, we plan to create as many as 100 million images of saliva cell populations over the next 6 months. These samples will come from healthy adults and pediatric subjects, as well as pediatric patients with Inflammatory Bowel Disease (IBD), collected at every follow-up visit. This extensive dataset will enable us to explore and compare the morphological differences in saliva cells across various health states, driving forward our understanding of oral and systemic health connections. We are excited to leverage the REM-I to push the boundaries of oral and craniofacial research, and we look forward to sharing our groundbreaking findings with the scientific community as part of our #IBDSCAN (Inflammatory Bowel Disease Salivary Cell Analysis Network) in collaboration with @Ajay Gulati from samples collected at the University of North Carolina at Chapel Hill Center for Gastrointestinal Biology & Disease led by Dr. Ajay Gulati and supported by the Crohn's & Colitis Foundation #Innovation #AI #Morpholomics #Oralsystemic #Crohns #Deepcell #LOCI #Saliva #IBD
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We had a great time at our #CYTO24 commercial tutorial. If you missed our workshop, you missed out on hearing about our plans to broaden access to our AI models and morpholomics technology for customers with cell imaging platforms. Stop by booth #20 to learn more. #Deepcell #REM_IPlatform #LifeSciences #AI #morpholomics
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Tomorrow, May 5, come check out our corporate workshop at #CYTO24 to hear from Deepcell CTO Mahyar Salek and our first REM-I customer Peter J. van der Spek.
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