Brightfield TISSUE CYTOMETRY

HistoQuest (HQ) is a software solution for the automatic statistical analysis of nuclear/plasmid/membrane specific staining signals of different types of cells for bright field samples to meet the needs of researchers for the automatic identification and accurate quantification of single cells in situ in tissue, based on the staining of the samples and the morphological characteristics of the cells. HQ can accurately find and analyse differences between different experimental groups based on sample staining and cell morphology.

HQ adopts a streamlined operation mode of sample batch import + one-click analysis, which gives the preliminary analysis data first, and then the researcher can adjust the parameter thresholds according to the data results by using the scatter plot forward and backward retrospective tool to address the sample variability. This analysis process of repeated data-image verification, rooted in the powerful image computing capability of the software, instantly obtains the big data information contained in the sample slices, and ultimately guides the researcher to obtain the data results that accurately reflect the real situation of the samples.


KEY FEATURES

Nucleus recognition algorithm

One-key colour separation analysis function

Multiple cytoplasmic morphology recognition modes

Distance analysis of membrane structure

Dot recognition and its analysis

Multiple data presentation modes

Precise extraction of specific data

Automated pathology scoring module

Flow-based data processing and solutions

Nucleus Recognition Algorithm
TG's nucleus recognition algorithm identifies multiple types of cells in all thick tissues, focusing surface cells with complex morphology, and then screens the target cell population based on parameters such as whether the edges are sharply in focus, whether they have the targeted morphology, and so on, which can be verified in real time.