Single cell sequencing at clinical scale.
Joined May 2021
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Sampling Human retweeted
Excited to be back at #SynBioBeta2025 speaking at “Machine learning and AI tools to guide engineering of human therapeutics" on May 6. bit.ly/SBB2025
Say hello to our latest addition to the automation team! Patrik Boloz is joining Sampling Human to help expand the capabilities of our automation platform, improve the efficiency of lab tasks, and to do all the other things a robot-whisperer does. Welcome aboard!
Target cells were accurately identified at concentrations as low as 1 cell per 100,000 background cells.
First-time users from diverse laboratory environments and proficiency levels were able to consistently discriminate between sample types differing only by 0.001%
78 assays were conducted by 30 users across 12 distinct laboratories, demonstrating high reproducibility and sensitivity.
The results of R.PRJ are available on bioRxiv demonstrating the reproducibility of Sampling Human’s technology for the highly specific capture of single cells for analysis. Decentralized data collection by independent labs was made possible by our user-friendly benchtop kit.
Enhancing reproducibility and decentralization in single cell research with biocytometry biorxiv.org/cgi/content/shor… #biorxiv_cellbio
R.PRJ brought together 30 users across 12 laboratories to test reproducibility of our single-cell measurement technology. Hear from participants and learn more about the study from the R.PRJ video.
youtu.be/qNK00tuQVTc
Sampling Human retweeted
This concerted effort is the epitomy of collaboration: from the Czech Republic to Cali, to Florida, Arkansas and others, including Puerto Rico (proud to represent my island in this work🇵🇷). Thanks to @samplinghuman and @CellBioEd for coordinating this. @CienciaPR @interpuertorico
Enhancing reproducibility and decentralization in single cell research with biocytometry biorxiv.org/cgi/content/shor… #biorxiv_cellbio
Our app note with BMG LABTECH is out! Quantify cell-specific apoptosis in complex samples using your plate reader for the first time. Sampling Human's apoptosis kits offer an alternative to flow cytometry with enhanced ease, and even an automated workflow. bmglabtech.com/en/applicatio…
We’re looking forward to presenting our universal solution for anti-CD19 CAR-T monitoring at #ASGCT2024 next week. Read the abstract here: annualmeeting.asgct.org/abst…
A little insight into how our bioparticles enable the analysis of samples never before possible. Thanks to @SynBioBeta for the feature!
This Single-Cell Startup Wants to Digitize the Immune System with Engineered Yeast: @samplinghuman is engineering yeast-derived bioparticles together with #AI to detect and sequence extremely rare cell populations. synbiobeta.com/read/this-sin… #synbio
Don’t miss the opportunity to see our CEO, @daniel_georgi on the panel, “"Gene Meets Cell: The SynBio Evolution in Targeted Therapeutics," at #SynBioBeta2024! Perfect for anyone interested in the latest developments in cell and gene therapy.
Enthusiastic to explore the amazing cell and gene therapy space with @avenciasm, @MarkKotter and Jake Lesnik! #SynBioBeta2024
Sampling Human retweeted
Enthusiastic to explore the amazing cell and gene therapy space with @avenciasm, @MarkKotter and Jake Lesnik! #SynBioBeta2024
This technology offers new opportunities in applications requiring high sensitivity cellular analysis or low sample volumes such as oncology, cell therapy, and regenerative medicine.
Bioparticle probes practically eliminate non-specific interactions and inter-sample noise in surface antigen immunodetection. This alone stands to transform reproducibility in cellular research.
Massively parallel cell identification is achieved without specialized training or personnel using just a plate reader, greatly improving throughput and ease of use.
Technical details about Sampling Human’s technology available now on bioRxiv! Our novel approach to cell identification enables unprecedented sensitivity in single-cell applications on an industrial scale.
Massively parallel identification of single-cell immunophenotypes biorxiv.org/content/10.1101/… #bioRxiv
