Cell-surface proteins are critical therapeutic targets and are vital to cellular communication, signaling, and homeostasis. However, developing high-affinity probes such as aptamers against these ...

Scientists and physicians can better assess precision genome editing technology using a new method made public today by St.

CHANGE-seq-BE was developed to enable scientists to better understand base editors, an important class of CRISPR precise genome editors.

A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence microscopy with computer vision and machine learning.

Scientists and physicians can better assess precision genome editing technology using a new method made public today by St.

Abstract: This paper presents the algorithm and very-large-scale integration (VLSI) architecture of a high-throughput and highly efficient independent component analysis (ICA) processor for ...

High Throughput Quality Control (HTQC) is essential for laboratories analyzing dozens, hundreds, or even thousands of samples daily. This application note explores the critical elements necessary to ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Droplet-based microfluidics is a powerful tool for high-throughput analysis of liquid ...

Abstract: Microfluidic impedance flow cytometry (IFC) is a widely used technique for high-throughput analysis and single-cell identification, analyzing cells based on their electrical properties ...

Promising new inroads into critical DNA testing has been forecast by experts who have applied machine learning to DNA profiling. From medical diagnostics to forensic tests and national security, PCR ...

Despite much progress, image processing remains a significant bottleneck for high-throughput analysis of microscopy data. One popular platform for single-cell time-lapse imaging is the mother machine, ...