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Automatic colony counting with mobile phone

Tue, 12 Apr 2022 22:26:47 +0800

In the fields of medical and health, environmental protection, food, chemical industry, biological industry, etc., bacterial culture is very important work. The calculation of colony count is a very necessary evaluation index. However, the counting of colonies is a very tedious and boring process. Currently counting The methods of colonization are:

One: Manual points, manual points are very time-consuming, and you need to record the progress of points at all times. If you are disturbed, the counting will be inaccurate.

Two: counting equipment, there are professional technical equipment at present, but the purchase of counting equipment is expensive and inconvenient to use, so it needs to cooperate with professional software and computers.

With the development of artificial intelligence and the improvement of mobile phone configuration, we can directly take pictures of the petri dish through the mobile phone, and the number of colonies can be automatically identified. more precise.

First of all, we need to download the "CountThings By Camera" app. You can download it yourself in major app stores.

Then download the corresponding template for colony points.

Next, we just need to take a picture of the petri dish and circle the range of points.

Click Identify, wait a few seconds, and you can complete the point operation.

If the results are biased, you can also manually adjust the accuracy or manually click the picture to correct the results.

全自动手机菌落计数

Tue, 12 Apr 2022 21:18:48 +0800

在医疗卫生，环保，食品，化工，生物产业等领域，细菌培养都是非常重要的工作.菌落数计算更是非常必要的评判指标.但是菌落的计数是一个非常繁琐且枯燥的过程.目前计数菌落的方法有：

一：手动点数，手动点数非常耗时，且需要时刻记录点数进度，如遇打扰，会导致计数不准.

二：计数设备，目前有专业的技术设备，但是计数设备的采购昂贵，且使用不方便，需要配合专业的软件和计算机.

随着人工智能的发展和手机配置的提高，我们可以通过手机直接对着培养皿拍照，即可自动的识别出菌落个数，且识别方法是采用人工智能算法，而非以前的图像识别，结果更加准确.

首先我们需要下载"精点相机" app.可以在各大应用商店自行下载.

然后下载菌落点数对应模板.

接下来，我们只需要对着培养皿拍照，圈选点数范围即可.

点击识别，等待几秒，就可以完成点数操作了.

如果结果有偏差，还可以手动调节精准度或者手动点击图片进行结果纠正.

Automated Colony Counter Software

Tue, 05 Apr 2022 22:25:04 +0800

Hence many laboratory managers have given attention to automated, digital devices to streamline the plate counting processes. Such devices have been commonplace to the clinical laboratory for some time; although adoption within pharmaceutical laboratories has been slower. Recent regulatory interest in data integrity and the economic pressures driving the ‘lean’ laboratory, with a focus on cost control, improving sample throughput, and reviewing whether each sample tested adds value or produces meaningful information (2), may account for the growing interest from the pharmaceutical sector.

The colony counting problem can be easily solved by using the "CountThings By Camera" mobile app. You only need to take a photo, click to identify, and the whole process can be automatically completed, and the accuracy can also be adjusted.

You can download it at google play named "CountThings By Camera"

The Colony Automated Count Based on Image Processing

Tue, 05 Apr 2022 22:24:15 +0800

Many microbiological tests depend on an accurate count of bacterial and fungal colonies. The process of enumeration is, for the busy laboratory, a relatively slow, tedious task. Moreover, it is not always reliable and open to variations (‘error’) in terms of accurate counting and the counts recorded between different technicians. The counting of colonies relies upon the ability of the technician to 'see' colonies. The extent to which colonies are clear and countable is a product of microbial growth, in addition to the quality of the growth media and the incubation conditions to which the plate has been subject to (time and temperature are the key parameters) (1). Idealized incubation will lead to the formation of colonies that are readily discernible by their improved size, shape, distribution and contrast. This is, in practice, not always the case. Moreover, the method by which the sample was captured can have a bearing on the result. Here, for example, many environmental monitoring techniques can affect the likelihood or otherwise of microbial survival, as with the desiccation effect that can occur with settle plates or the shearing forces associated with air samplers. The application of automated colony counters can help to speed up the process and to improve counting precision provided a reliable and qualified instrument is used.

You can download it at google play named "CountThings By Camera"

A simple and fast method for determining colony forming units

Tue, 05 Apr 2022 22:23:20 +0800

The practice of counting bacterial colony forming units on agar plates has long been used as a method to estimate the concentration of live bacteria in culture. However, due to the laborious and potentially error prone nature of this measurement technique, an alternative method is desirable. Recent technologic advancements have facilitated the development of automated colony counting systems, which reduce errors introduced during the manual counting process and recording of information. An additional benefit is the significant reduction in time taken to analyse colony counting data. Whilst automated counting procedures have been validated for a number of microorganisms, the process has not been successful for all bacteria due to the requirement for a relatively high contrast between bacterial colonies and growth medium.

You can download it at google play named "CountThings By Camera"

Real-time bacterial microcolony Automated counting

Tue, 05 Apr 2022 22:22:27 +0800

Colony counting, often performed manually using the light box and pen method, demands a very high level of concentration by the microbiologist. As a way to manage this error-prone and time-consuming process, researchers resort to analyzing only parts of a plate to estimate whole plate numbers, introducing inaccuracies in the data.

To simplify the colony counting process, scientists often work with colored bacterial colonies by either using chromogenic media or by staining the colonies. Although easier to visualize compared to uncolored bacteria, obtaining accurate colored counts relies on the microbiologist having perfect color vision. As the brain interprets colors differently, there can be discrepancies in the colony counts when multiple scientists work on the same project.

Automated colony counters serve as a solution to these challenges, with the ability to detect and count colonies with greater accuracy and speed.

You can download it at google play named "CountThings By Camera"

Automatically count bacterial colony forming unit

Tue, 05 Apr 2022 22:21:50 +0800

Accurately counting bacterial colonies forms an integral part of a diverse range of experiments such as checking the safety of foods and pharmaceutical products as well as determining the efficacy of vaccines. With the assumption that each colony comes from a single microorganism, researchers dilute and plate the liquid culture directly onto agar plates, eventually determining the original microbial concentration by counting colony-forming units (CFUs) on each plate.

You can download it at google play named "CountThings By Camera"

Automated Counting Colonies - Microbiology

Tue, 05 Apr 2022 22:20:50 +0800

The automatic method proposed to count colonies includes four steps, i.e., eliminating noises outside agar plate, removing plate rim and wall, identifying and separating clustered or overlapped colonies, and counting colonies by using connected region labelling, distance transform, and watershed algorithms.

You can download it at google play named "CountThings By Camera"

Automated counting of bacterial colonies on agar

Tue, 05 Apr 2022 22:20:12 +0800

The colony counter is an instrument that is commonly used to count colonies of bacteria or other microorganisms on a plate containing a gelled growth medium. A fully automated system would essentially consist of collecting images using any one of the digital image capturing devices such as document scanner/charge coupled device digital camera/webcam or video equipment. Colonies can be counted from pictures of plates using software tools. In automated systems, the objects and their backgrounds can be varied widely. Usually, one of the three methods of illumination can be selected to enhance visibility and increase accuracy. These are the following: transmission method, reflection method, and dark field method. The colony counter is used for microbiology applications for fast and accurate counting of bacterial and mould colonies.

You can download it at google play named "CountThings By Camera"

How to cutomated count bacterial colonies on agar

Tue, 05 Apr 2022 22:18:37 +0800

Counting bacterial colonies on microbiological culture plates is a time-consuming, error-prone, nevertheless essential quantitative task in Clinical Microbiology Laboratories. With this work we explore the possibility to find effective solutions to the above issue by designing and testing two different machine learning approaches. The first one is based on the extraction of a complete set of handcrafted morphometric and radiometric features used within a Support Vector Machines solution. The second one is based on the design and configuration of a Convolutional Neural Networks deep learning architecture. To validate, in a real and challenging clinical scenario, the proposed bacterial load estimation techniques, we built and publicly released a fully labeled large and representative database of both single and aggregated bacterial colonies extracted from routine clinical laboratory culture plates. Dataset enhancement approaches have also been experimentally tested for performance optimization. The adopted deep learning approach outperformed the handcrafted feature based one, and also a conventional reference technique, by a large margin, becoming a preferable solution for the addressed Digital Microbiology Imaging quantification task, especially in the emerging context of Full Laboratory Automation systems.

You can download it at google play named "CountThings By Camera"