Moments and moment invariants have become a powerful tool in image processing owing to their image description capability and invariance property. But, conventional methods are mainly introduced to deal with the binary or gray-scale images, and the only approaches for color image always have poor color image description capability. Based on Exponent moments (EMs) and quaternion, we introduced the quaternion Exponent moments (QEMs) for describing color images in this paper, which can be seen as the generalization of EMs for gray-level images. It is shown that the QEMs can be obtained from the EMs of each color channel. We derived and analyzed the rotation, scaling, and translation (RST) invariant property of QEMs. We also discussed the problem of color image retrieval using QEMs. Experimental results are provided to illustrate the efficiency of the proposed color image descriptors.
The interstitial cells of Cajal (ICC) drive the slow wave-associated contractions in the small intestine. A commonly used marker for these cells is c-Kit, but another marker named Ano1 was recently described. This study uses single-cell RT-PCR, qPCR and immunohistochemistry to determine if Ano1 could be reliably used as a molecular marker for ICC in single-cell mRNA analysis. Here, we report on the relationship between the expression of c-Kit and Ano1 in single ICC in culture. We observed that Ano1 is expressed in more than 60% of the collected cells, whereas c-Kit is found only in 22% of the cells (n = 18). When we stained ICC primary cultures for c-KIT and ANO1 protein, we found complete co-localization in all the preparations. We propose that this difference is due to the regulation of c-Kit mRNA in culture. This regulation gives rise to low levels of its transcript, while Ano1 is expressed more prominently in culture on day 4. We also propose that Ano1 is more suitable for single-cell expression analysis as a marker for cell identity than c-Kit at the mRNA level. We hope this evidence will help to validate and increase the success of future studies characterizing single ICC expression patterns.
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