Approach to classify, separate, and enrich objects in groups using ensemble sorting
Approach to classify, separate, and enrich objects in groups using ensemble sorting
复制标题
使用集成排序对组中的对象进行分类、分离和丰富的方法
DOI：
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发表时间：
2018
影响因子：
11.1
通讯作者：
L. Cronin
中科院分区：
文献类型：
--
作者：
Rebecca M. Turk;Alon Henson;M. Rodriguez;G. Gibson;Gerardo Aragon Camarasa;Dario Caramelli;M. Padgett;L. Cronin
从单细胞、液滴或大分子到材料的分选和分离是许多科学研究的重要核心操作。事实上，它是制造机器和检测技术的核心；然而，大多数方法侧重于分离单个组件，这可能是昂贵和耗时的，并且很难在低错误率下实现高吞吐量。在这里，我们提出了一种适用于大尺寸和材料范围的简单方法，使用一组寄存器对组或集合中的对象进行排序，这些寄存器本身再次排序，然后迭代地重新排序。结果是一个无损的富集过程，导致非常高的纯度，可以应付误差和高度动态种群。将物体分类成组是一项基本操作，对细胞、晶体、珠或液滴群体的制备和纯化至关重要，是生物学、化学和材料科学研究和应用所必需的。探索这种纯化的大部分努力集中在两个方面：分离程度和有效分离所需的测量精度。通常，实现良好的分离最终需要逐个考虑对象（这可能既缓慢又昂贵），并且能够通过提高灵敏度和减少排序错误来测量已排序对象。在这里，我们提出了一种排序方法，该方法解决了两个关键限制，该方案允许我们接近排序决策准确性的理论极限。我们不是对单个对象进行排序，而是通过一组寄存器对集合中的对象进行排序，然后这些寄存器又以无损的方式将自己排序到第二个对称的寄存器集中。通过重复这个过程，我们可以在低约束条件下获得高排序纯度。我们展示了这一想法背后的理论，并确定了关键参数（集合种群和分选时间），并通过模拟和实验系统展示了我们的方法的实用性和鲁棒性，这些系统跨越了几个数量级，分选宏观珠子和微流体液滴的种群。我们的方法在本质上是通用的，简化了分选过程，因此可以增强许多不同的科学领域，如纯化，稀有物体的富集和动态种群的分离。
Significance The sorting and separation of objects, from single cells, droplets, or macromolecules, to materials, is an important operation central to many scientific investigations. Indeed, it is central to the fabrication of machines and detection technologies; however, most methods focus on separating individual components which can be costly and time-consuming, and it is difficult to achieve high throughput at low error rates. Here, we propose a simple method applicable over a large size and material range to sort objects in groups or ensembles using a set of registers, which are themselves sorted again, and then re-sorted iteratively. The result is a lossless enrichment process that leads to a very high purity and can cope with errors and highly dynamic populations. The sorting of objects into groups is a fundamental operation, critical in the preparation and purification of populations of cells, crystals, beads, or droplets, necessary for research and applications in biology, chemistry, and materials science. Most of the efforts exploring such purification have focused on two areas: the degree of separation and the measurement precision required for effective separation. Conventionally, achieving good separation ultimately requires that the objects are considered one by one (which can be both slow and expensive), and the ability to measure the sorted objects by increasing sensitivity as well as reducing sorting errors. Here we present an approach to sorting that addresses both critical limitations with a scheme that allows us to approach the theoretical limit for the accuracy of sorting decisions. Rather than sorting individual objects, we sort the objects in ensembles, via a set of registers which are then in turn sorted themselves into a second symmetric set of registers in a lossless manner. By repeating this process, we can arrive at high sorting purity with a low set of constraints. We demonstrate both the theory behind this idea and identify the critical parameters (ensemble population and sorting time), and show the utility and robustness of our method with simulations and experimental systems spanning several orders of scale, sorting populations of macroscopic beads and microfluidic droplets. Our method is general in nature and simplifies the sorting process, and thus stands to enhance many different areas of science, such as purification, enrichment of rare objects, and separation of dynamic populations.
影响因子：
6.1
作者：
Shields CW 4th;Reyes CD;López GP
通讯作者：
López GP