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深度学习可识别显微照片中的细菌_我的网站
一 | “We completely disagree with Jeff Bezos. We will continue to call on everyone along that distribution chain, as I just mentioned, from oil companies to refineries to distribute distributors to retailers to pass their local lower cost through to consumers,” Jean-Pierre said during a press briefing on Tuesday.,On Saturday, US President Joe Biden said that at a time of war and global peril companies running gasoline stations should bring down the prices to reflect the cost citizens are paying for the product.,Bezos responded later that day, saying that inflation is far too important a problem for the White House to keep making statements like this and it is either straight ahead misdirection or a deep misunderstanding of basic market dynamics.,Jeff Bezos Claims Biden ‘Misunderstands’ Market Dynamics With Gas Price Reduction Call3 July, 17:58 GMT,White House spokesperson Karine Jean-Pierre responded by saying that oil prices have dropped by about $15 over the past month, while prices at the gasoline stations have barely come down, which is not basic market dynamic but is a market that is failing the US consumer.,As of Tuesday, the national average price for gasoline in the United States was $4.8 per gallon, according to the American Automobile Association. At the same time, car drivers in the West Coast states (California, Oregon, Washington) are seeing the highest prices at the pump that reach $7 per gallon.。 此外，由于不同细菌的光学特性存在差异，Omnipose在克服识别问题方面表现出色。
二 | 由于抗生素治疗或细菌间侵袭过程中产生的化学物质的拮抗作用，该软件不会轻易被细胞形状的极端变化所欺骗。事实上，该程序表明它甚至可在大肠杆菌试验中检测细胞中毒。大多数细菌是球形或棒状，但有些具有其他基本形式，例如扭曲的螺旋形。
三 | Omnipose还可识别更精细的细菌，这些细菌具有细长的形状，其物理特征会使深度学习工具难以判断图像中存在哪些细菌。在分析来自杂草拟南芥根的细胞时，Omnipose在这个3D样本中确实显示出一些优势。
四 | 为了探究它是否也可成为其他依赖显微镜的生物甚至非生命科学领域的多功能工具，研究人员在超小型蛔虫——秀丽隐杆线虫的显微照片上试用了该程序，秀丽隐杆线虫是遗传、神经科学、发育和微生物行为研究中的重要生物。像一些细菌一样，这种生物具有细长的形状，它也可像许多其它蠕虫一样扭曲自己。结果表明，无论它的各种伸展、收缩和其他运动如何，Omnipose都可挑选出秀丽隐杆线虫。这种能力在延时跟踪秀丽隐杆线虫运动期间的神经研究中可能是有用的。在设计像Omnipose这样的工具时，研究人员正在研究单像素精度的尺度来定义细胞的边界。这是因为大多数细菌细胞体图像仅由少量像素组成。
五 | 研究人员解释说，在图像中定义边界称为分割。他们通过深度神经网络、高精度分割算法开发了Ominpose。实验表明Omnipose具有前所未有的分割精度。
六 | 研究人员称，Omnipose在各种细胞形态和模式上的高性能，可能会从以前无法访问的显微镜图像中解开信息，这或将改变生物图像分析的游戏规则。
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Published on:01:24:56