26.03.27 AI Virtual Cell Data Generation: What Data Do These Models Actually Need? Every AI model is only as good as the data behind it. Large language models need text. Image generators need training photos. And AI virtual… Read more
26.03.15 AI Virtual Cell Model (AIVC) What if we could observe how a human cell responds to a drug, a genetic change, or an environmental shift—without performing a single wet‑lab experiment?… Read more
26.03.11 Tissue Preservation is the Unsung Hero of a Successful Single Cell Experiment Why Tissue Preservation is the First Important Step of your Experiment In single cell sequencing analysis, we often focus on the final data output. On… Read more
26.02.23 Full Transcriptome Insight from Single Cell Sequencing Why Single Cell Whole Transcriptome Sequencing Standard single-cell RNA sequencing (scRNA-seq) provides only a partial view of cellular activity. mRNA comprises only a few percent… Read more
25.11.10 % intron reads matter in single-cell RNA sequencing data. Why? When eukaryotic cells express DNA, DNA is transcribed into pre-messenger RNA (mRNA), which must then be processed into a mature, functional mRNA transcript. These changes… Read more
24.12.10 2024 in Review: A Year of Remarkable Scientific Breakthroughs What a year 2024 has been for the scientific community – in particular in the field of immuno-oncology! Researchers using Singleron’s products have collectively published over 150 studies this year, each one pushing the boundaries of our understanding of diseases and molecular mechanisms. We are immensely proud to celebrate the dedication and success of these brilliant scientists whose work continues to inspire and drive progress in the field. Read more
23.12.12 Annual Research Roundup: 2023's Most Impactful Publications! 2023 was a busy and successful year for our scientific community. As 2023 comes to an end, it is time to look back at some of theimpactful publications from this year. Read more
23.11.22 Decoding the Biological Meaning of Your Data: The Power of Accurate Automated Cell Type Annotation Automated single cell RNA sequencing annotation streamlines analysis, saving time and improving reproducibility. Exploreautomated ‘annotation approaches and key considerations in our latest blog Read more
23.08.01 Peering into Tomorrow: The Predictive Power of Machine Learning in Single Cell Analysis Single cell analysis technologies are one of the most revolutionary advancements in recent years. However, volume and complexity of the generated data pose a significant challenge. This is where machine learning, deep learning and artificial intelligence have emergedpowerful tools Read more