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发布时间: 2017 - 07 - 18
Drop Maker 样本制备仪采用光、机、电一体化设计,配套具有自主知识产权的微流控芯片,可以将水相样本快速制备成纳升体积的液滴。液滴数与样本体积相关,30微升样本可制备约5万个液滴。液滴尺寸均一,并可在PCR扩增后保持稳定。产品说明起始样本量(μL)20-50制备通量1-8个样本制备时间4min / 8样本每 30 μL 样本液滴数约50000个仪器尺寸(宽 ´ 深 ´ 高)38 x 34 x 35 cm
发布时间: 2017 - 07 - 18
Chip Reader 生物芯片分析仪采用光、机、电一体化设计,及激光共聚焦原理,配套有自主知识产权的微流控芯片,可以准确快速地定位、识别纳升体积微液滴,获取其荧光信号值。经过泊松统计分析,提供研究者所需的阳性、阴性液滴数绝对数值,从而推算出起始靶标核酸分子的精确浓度。Chip Reader  生物芯片分析仪兼容Taqman水解探针和EVAGreen检测。产品说明阅读通道FAM(EvaGreen)、VIC(HEX)阅读通量1-8个样本阅读时间20min / 8样本仪器尺寸(宽 ´ 深 ´ 高)45 x 47 x 49 cm
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微液滴生成过程模拟算法研究,Sci. Reports, 2018


发表文献网址:https://www.nature.com/articles/s41598-018-28270-8


Droplet microfluidics has attracted significant interests in functional microcapsule synthesis, pharmaceuticals, fine chemicals, cosmetics and biomedical research. The low variability of performing chemical reactions inside droplets could benefit from improved homogeneity and reproducibility. Therefore, accurate and convenient methods are needed to monitor dynamic droplet generation processes. Here, a novel Cosine Similarity Algorithm (CSA) method was developed to monitor the droplet generation frequency accurately and rapidly. With a microscopic droplet generation video clip captured with a high-speed camera, droplet generation frequency can be computed accurately by calculating the cosine similarities between the frames in the video clip. Four kinds of dynamic droplet generation processes were investigated including (1) a stable condition in a single microfluidic channel, (2) a stable condition in multiple microfluidic channels, (3) a single microfluidic channel with artificial disturbances, and (4) microgel fabrication with or without artificial disturbances. For a video clip with 5,000 frames and a spatial resolution of 512 × 62 pixels, droplet generation frequency up to 4,707.9 Hz can be calculated in less than 1.70 s with an absolute relative calculation error less than 0.08%. Artificial disturbances in droplet generation processes can be precisely determined using the CSA method. This highly effective CSA method could be a powerful tool for further promoting the research of droplet microfluidics.

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