Cytometers

Tender description

The University of Aberdeen requires a single platform Imaging Flow Cytometry System to enable research of complex biological systems using the quantitative power and speed of Flow Cytometry with high content image analysis. Imaging Flow Cytometry System for research purposes with a single platform for understanding complex biological systems using the quantitative power and speed of Flow Cytometry with high content image analysis. — Capable of acquiring microscopic images from cells in suspension at flow rates of 5 000 cells per second. — Generate a minimum of 12 images of each cell to perform Multi-parameter cytometry and be upgradable to permit additional images. — Images to include at least one brightfield image, and one darkfield image and up to ten separate fluorescent images in spectrally distinct fluorescent channels. — Capability to load and inject 20-200 uL of sample from a single micro-tube and provide a 96-well plate auto-sampling for analysing small volume in automated high-throughput manner. — Brightfield illuminator, a darkfield illuminator, and 5 variable power lasers having excitation lines/maximal power outputs of 488 nm/ 400 mW, 642 nm/150 mW; 375 nm/20 mW, 405 nm/100 mW, 561 nm/200 mW, and 592 nm/300 mW. — Selectable magnification objectives (minimum 20x, 40x and 60x) and a combination of specialised optics (Extended Depth of Field (EDF)) and unique image processing algorithms that project all structures, spots, vesicles and probes within the cell into one crisply-focused image. — Automatic feedback mechanism to monitor and adjust for changes in the position of cells in flow, keeping the vast majority of cells in focus. — Complete self-test and self-calibration capability. — PC with the capability of analysing tens of thousands of cells in a high-speed manner including sufficient size of the memory and storage. — Software with capability to analyse tens of thousands of cells as individual cells or aggregate populations and be able to generate information on more than 80 features per image of a cell, including methods for user-generated feature analysis.