11/10/2023 0 Comments Vuescan 8.6.66 serial number![]() The conventional method measures colony area at a specified time point, so that growth kinetics of the colony is completely overlooked. The second problem is the lack of information about growth kinetics. We therefore developed a new normalization method that is suitable for high-throughput systems which differs markedly from the conventional method. However, this normalization procedure was designed for the conventional colony quantification method. A normalization of systematic biases generated by the neighbor effect has been successful for improved measurement accuracy and precision. Thus, the neighbor effect interferes with growth quantification. The magnitude of the neighbor effect varies widely for colony position and between plates. Although the neighbor effect is likely associated with two general factors: competition for nutrients and cell-cell communication (quorum sensing), the specific cause is usually unknown. Despite the throughput advantage, growth inhibition by neighboring colonies (the neighbor effect) arises due to insufficient separation between the arrayed colonies. Since this method can provide cost-effective growth measurement, high-density arrays have been widely used in phenotype screening studies of genome-wide mutant library. To date arrayed-colonies have been used for high-throughput growth quantification because experiment throughput is dramatically increased by manipulating high-density arrayed colonies (1536 colonies/plate) using robotic technology. The first problem is the neighbor effect. ![]() We considered two critical problems of a current high-throughput growth measurement method. A key challenge is how to enhance measurement quality without sacrificing throughput. These are critical to achieving the resolution required to identify unique phenotypes among a diverse range of phenotypes. Measurement quality can be assessed by small variations in different experiments, reproducibility independent of plate differences or colony position on the plate, and the amount of information generated. However, an inherent tradeoff between throughput and measurement quality means that high-throughput methods sacrifice some measurement quality. ![]() High-throughput growth measurements with single-gene knockout (SKO) collections have enabled genome-wide studies to illuminate cellular systems, such as comprehensive genetic interactions and chemical-genetic interactions. ![]()
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