Certified by Founder
                                        Lodge
                                        
                                        
                                    
                                    
                                    Parhelia Biosciences
                                                                                start up
                                                                            
                                    
                                                                                                                                    
                                                                                                United States
                                                 -                                                 Austin, TX
                                                                                            
                                                                                    - 18/10/2023
 - Series A
 - Undisclosed Amount
 
Automated microscopy sample staining with various protocols.
Stains cell lines, fresh-frozen and FFPE tissues.
Supports both coverslips and slide mounts.
Automates IF, IHC, CODEX, smRNA-FISH, CycIF and more.
Fully customizable protocols. Create your own protocol or use one of our templates.
- Industry Biotechnology Research
 - Website https://www.parheliabio.com/
 - LinkedIn https://www.linkedin.com/company/parhelia-bio/about/
 
Related People
Nikolay SamusikFounder
                                                    
                                                                                                                United States -
                                                         Ashland, Oregon
                                                    
                                                I am a computational biologist and a developer of numerous algorithms for single-cell data analysis, including CODEX software toolkit, X-shift/VorteX, HyperFinder. I enjoy seeing my algorithms having an increasing impact in single-cell biology and clinical applications.
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