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# CyteFinder II HT Imaging System

CyteFinder II HT is a high-throughput imaging system that scans up to 80 slides hands-free and uses machine learning to detect rare cells and find tissue without an operator.

CyteFinder II HT comes out of RareCyte's rare-cell work — the detection approach behind circulating-tumor-cell (CTC) analysis — now in a walk-up, barcode-tracked scanner. Seven fluorescence channels handle immunofluorescence, while brightfield handles H&E and IHC on tissue-capable configurations, keeping cellular and tissue-based multiplexed analysis on one instrument.

Scanning is designed to run unattended: a five-position automated turret and image-based autofocus work through the 81-slide tray on their own, while a machine-learning step flags rare cells and locates tissue as images come off the camera. Results are reviewable at the bench or from a remote workstation.

CyteFinder II HT is for Research Use Only. It is not for use in diagnostic procedures.

Read or download to see:

- Up to 80 slides scanned hands-free. The tray holds 81 standard microscope slides (80 loaded automatically, one manual) at &plusmn;5.0 &micro;m load repeatability, and a 1D/2D barcode workflow tracks each sample through the run.

- A typical 20x whole-slide scan in about 6.5 minutes. Scanning a 1.5 cm &times; 1.5 cm area across five channels at 20 ms exposures takes roughly 6.5 minutes, autofocus included.

- Seven fluorescence channels, from DAPI to the near-infrared. A five-color solid-state LED source drives seven fluorescence channels spanning DAPI to Qdot 800, with brightfield imaging for H&E and IHC on tissue configurations.

- Machine-learning rare-cell detection on an sCMOS camera. A 2560 &times; 2160 sCMOS sensor with 6.5 &micro;m pixels and 1.2 electrons of read noise feeds the rare-cell analysis and tissue-viewing software, with optional remote review.

[Download spec sheet](https://cdn.sanity.io/files/s3p6uqps/production/cd9c7c7369ac85877997668a4988e4519de79cea.pdf)

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[Download the CyteFinder II HT spec sheet](https://cdn.sanity.io/files/s3p6uqps/production/cd9c7c7369ac85877997668a4988e4519de79cea.pdf) to view it.

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