相关实验视频

Updated: Jul 13, 2025

Fast Colony Forming Unit Counting in 96-Well Plate Format Applied to the Drosophila Microbiome

Fast Colony Forming Unit Counting in 96-Well Plate Format Applied to the Drosophila Microbiome

Published on: January 13, 2023

混合方法殖民地形成单位计数问题使用多损失U-Net重制

Vilen Jumutc¹, Artjoms Suponenkovs¹, Andrey Bondarenko¹

¹Institute of Smart Computer Technologies, Riga Technical University, LV-1048 Riga, Latvia.

Sensors (Basel, Switzerland)

|October 14, 2023

概括

这项研究引入了一种混合方法,用于准确的殖民地形成单位 (CFU) 计数,通过多损失的U-Net和彼得里盘本地化增强深度学习模型. 这种新方法显著提高了对食品安全和生物医学应用的微生物殖民地检测的精度.

科学领域:

生物技术是生物技术.
计算机科学计算机科学
食品安全食品安全

背景情况:

殖民地形成单位 (CFU) 计数在生物医学和食品安全方面至关重要,但缺乏通用解决方案.
像U-Net这样的当前深度学习方法需要进行后处理来计算,这通常会导致基于像素的细分导致不准确.
现有的方法与工件和微生物殖民地的精确定位作斗争.

研究的目的:

开发一种新的混合方法,用于精确的体外CFU计数.
提高基于深度学习的CFU检测的准确性和稳定性.
引入一个完全自动化的CFU计数系统,使用用户反循环.

主要方法:

一个重构的多损失U-Net,在瓶层中包含一个辅助损失项.
一个新的后处理彼得里盘本地化算法,其中包括甲板和边框.
与统一的培养皿照明系统和用于自动处理和用户反的网络应用程序的集成.

主要成果:

拟议的混合方法在平均绝对和对称平均绝对百分比误差方面始终超过了U-Net和其他单损失模型 (密度图,YOLOv6) 的1-3%.
多损失的U-Net重构为更好的CFU本地化提供了辅助信号.
培养皿定位算法进一步提高了计数准确度.

结论:

新的混合CFU计数方法显著提高了微生物殖民地检测的精度和准确性.
多损失的U-Net和本地化算法有效地解决了基于细分的现有方法的局限性.
全自动化系统为体外CFU计数挑战提供了强大而适应性的解决方案.

关键词:

这就是U-Net.殖民地形成单位.深度学习是一种深度学习.细分化细分化的细分化

更多相关视频

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging

Published on: October 4, 2024

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Published on: February 15, 2022

相关概念视频

Reducing Line Loss

Reducing Line Loss

In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...

Multi-input and Multi-variable systems

Multi-input and Multi-variable systems

Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for k_a Estimation

This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...

Aggregates Classification

Aggregates Classification

Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...

Line Loss

Line Loss

The different configurations of source-load connections include wye (star) and delta connections. The relationship between line and phase voltages and currents varies depending on the configuration. When the source is supplying power, it is transmitted through the wires to the load, and during this transmission, some power is absorbed by the wires, leading to line loss.
Line loss impacts power delivery efficiency in a balanced three-phase circuit. The symmetry in such a circuit simplifies the...

Cluster Sampling Method

Cluster Sampling Method

Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...