Abstract
Multi-spectral imaging technique plays an important role in real-world applications such as medicine and medical detections. This paper proposes a cervical cancer cell screening method to simultaneously adopt TBS classification and DNA quantitative analysis for a single cell smear. Through using compound staining on a smear, the cytoplasm is stained by Papanicolauo and the nucleus is stained by Feulgen. The main evaluation parameter is the DNA content of the nucleus, not the subjective description of cell morphology, which is more objective than the TBS classification method and reduces the chances of missing a diagnosis due to subjective factors. Each nucleus has its own DI value and color image of the whole cell, which is convenient for doctors as it allows them to review and confirm the morphology of cells with a nucleus DI of over 2.5. Mouse liver smears and cervical cases are utilized as the measuring specimens to evaluate the performance of the microscope multi-spectral imaging system; illustrative results demonstrate that the proposed system qualifies, with high accuracy and reliability, and further presents wide application prospects in the early diagnosis of cervical cancer.
Highlights
Multi-spectral imaging technique plays an important role in real-world applications such as medicine and medical detections
It mainly consists of the automatic microscope, imaging system and LED-composite light source
Papanicolaou smear, there was no significant difference in the background and color of the cytoplasm; the color of nuclei in the pseudo-color image was darker because the nuclei sized after calculating each band’s weight, basedthis on would the absorbance-unmixing model,orasbe in this smear were Fuelgen-stained
Summary
Cervical cancer is one of the most common gynecological malignant tumors all over the world, especially in developing countries [1,2,3]. The Bethesda system (TBS) classification and cellular DNA quantitative analysis are common screening methods for cervical cancer [6,7]. Multi-spectral imaging has mainly been employed to analyze hidden diseases in specimens such as cells and tissues. In this regard, Jakovels and Spigulis used the MSI technique to measure three chromophores of the skin in the spectral range of from 500 nm to 700 nm. Able to acquire colored images of cells and the DNA index of the nucleus for each cell This improvement can provide the possibility for doctors to perform morphological analysis and DNA ploidy analysis of cells simultaneously and efficiently, which leads to a positive effect on the accuracy of diagnosis.
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