Our Technology

Hypercell® Computer Vision Single Cell Sorting (CVSCS) is unique in that, unlike conventional cytometry systems which utilize florescence readouts to sort cells using a microscope and high-speed camera, the Hypercell system utilizes multi-channel lensless imaging that sorts cells based on real-time analysis with computer vision of “HITS” (single cells detected as true positives for secreted biomarkers). Parallelized computer vision algorithms, operating on a 16-channel chip simultaneously, achieve a throughput of thousands of compartments per second. The system is one of the fastest cell sorters on the market delivering cells with strong proliferation, high viability and secretion.

FAQs about Hypercell's technology.

No. Hypercell uses computer vision that identifies and sorts HITS. Lensless imaging removes the need for fluorescent and colorimetric-based methodologies since they require long and slow molecular labeling that leads to unavoidable interferences with cell integrity and compromise the image acquisition.

POD stands for Polydisperse Oblate Dispersion, a proprietary innovation system in which cell encapsulation is performed using a simple off the shelf vortexer.

Our proprietary computer vision single cell sorting (CVSCS) platform is scaled to detect on the order of 10,000 PODS/second. The digital imaging system is based on a patented lensless computer vision-based detection technology, which is compatible with Bioelectronica’s proprietary reagents that visualize the secretion rates.

Unlike conventional assays, our computer vision single cell sorter (CVSCS) detects ‘features’ of an object digitally. This can be equated to the presence or absence of the ‘aggregated beads’. PODS with antigen-specific secreting cells contain aggregated beads, which are detected as ‘dark clusters’ in the computer vision single cell sorting (CVSCS) system and the empty PODS containing non-specific secreting cells will have beads dispersed evenly throughout and thus no dark clusters. The selected PODS are directed to the ‘Hit collect’ outlet using a proprietary electrofluidic sorter which utilizes integrated sorting components and control electronics triggered by computer vision.

Computer Vision Single Cell Sorting, Invented at Bioelectronica

Cells of potential interest are collected in PODS, cluster-detection windows and grouped together for analysis in the Hypercell electrofluidic chip. Users can define their parameters using Computervision software, making assays completely customizable. Statistical models are used to perform precise counting, providing the benefit of improved limit of detection, improved analysis of complex mixtures and superior precision, linearity and speed.

Hypercell is completely scalable. With 4 cameras and 16 channels, it offers the analysis of 1,000 pods/second. In addition to this high throughput capability, modest sheer stress provides greater cell viability. Hypercell can provide gentle sorting to improve cell viability in a variety of cell populations, including CHO cells, B-cells, and T-cells.

Hypercell’s lens-free technology is a plug and play platform that blends three key emerging technologies in 2021:

Data Science


Computer Science

Hypercell uses a patent-pending method of detecting secreted biomarkers from single cells with lensless imaging, computer vision and a proprietary electrofluidic design.

Lensless Imaging offers the following advantages:

Turn Months into Minutes

Computer Vision can quickly and accurately assess:

The Hypercell system delivers fast, accurate and customizable cell sorting using novel electrofluidic chips and Computer Vision software that:

  • Accurately sorts cells into polydisperse pods for increased throughput
  • Scales analysis through parallelization while improving shear rates for greater cell viability
  • Offers novel bead-based detection reagents adaptable to both monoclonal and polyclonal Abs
  • Lensless imaging requires no fluorescence
  • Parameters can be customized to your needs

Rapid Computer Vision Analysis of PODS and Particles

>500,000 PODs analyzed in < 15 minutes using high performance computing (Throughput >1000 pods/second)