Lims Ebook

Straincontrol Laboratory Manager

Straincontrol Is A Windows-based Management Software For People Working In A Lab. Straincontrol Manages Bacterial Strains, Plasmids, Oligos, Antibodies And Physical Inventories. Every Lab Needs Straincontrol. StrainControl Laboratory Manager is a windows-based software that allows you to organize collections of strains, plasmids, oligos, antibodies and inventories. In most laboratories, there is a growing need for storing this information in an efficient and secure way. Although the need is something most laboratories feel every day, there is a lack of good softwares that do precisely this. StrainControl Laboratory Manager covers all aspects of an excellent Lims software designed to help organizing your lab. If you already have your collections in a word- or data processor simply use the built-in guide to import all data into StrainControl Laboratory Manager. Fast and easy. After this all your data will be searchable and organized in an efficient and secure manner.

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Laboratory Information Systems

A laboratory information system receives and stores requests for tests, and results are entered by laboratory technicians or directly from laboratory instruments (e.g., via the ASTM E-1381 protocol Specification for Low Level Protocol to Transfer Messages between Clinical Laboratory Instruments and Computer Systems). Results of tests are available via paper reports and electronic interfaces, both to human users and to other information systems such as a POC system (described below). Laboratory information systems in hospitals, the animal health system, governmental public health, and commercial free-standing laboratories are virtually identical. For this reason, we devote Chapter 8 to the role of laboratories and networks of laboratories in biosurveillance. Briefly, laboratories perform tests that include all types of cell counts, analytical chemistry, drug and toxin screening, and detection of microbes. The results of these tests are important to biosurveillance of virtually every...

Use of LIMS in Biosurveillance

Because of the importance of laboratory tests in biosurveillance, biosurveillance organizations are attempting to establish connections between LIMSs and their own biosurveillance computers. At present, however, there are significant technical barriers to connecting a LIMS located in a laboratory with a computer located in a biosurveillance organization. The most difficult technical barrier is data incompatibility. Most laboratories do not use standard coding systems to identify the names and results of laboratory tests. Data standards exist, but few laboratories use them. Most laboratories have evolved their own naming or coding systems for the tests that they perform and the results of those tests. They use these proprietary codes (or free text) to identify the laboratory test, specimen type, organism, or other results of a test. As a result, each LIMS-to-biosurveillance-computer interface requires significant effort to understand the data and to create means to translate the data...

Tracking a White Blood Count from Order to Result

A clinician requests (orders) that a laboratory perform a white blood count on a blood sample from a patient in one of several ways. The clinician writes the order on paper, gives a verbal order to a nurse, or enters the order directly into a computer system. A LIMS may receive this order in one of several ways directly, if the LIMS provides an order-entry component that either the clinician uses directly or the nurse or ward clerk uses on her behalf indirectly, if a paper order form accompanies the specimen or electronically, from an order-entry system embedded in another information system (such a point-of-care system as discussed in Chapter 6). We will trace the most automated path in which the LIMS receives the order electronically. The received order sets up a specimen-tracking process that is a central LIMS function. The LIMS (or a point-of-care system) controls a printer, which is often located in the clinical area from which the order originated. The printer generates a...

Networks Of Laboratories

Early networks included the National Laboratory System (NLS) of clinical, public health and federal laboratories (McDade and Hughes, 1998), and the Public Health Laboratory Information System (PHLIS). PHLIS was an early DOS-based system that involved voluntary reporting of selected laboratory tests directly to the CDC by 23 state and local public health laboratories and numerous military laboratories (see Chapter 3). PHLIS was one of the earliest laboratory-based surveillance systems that became an effective tool for the identification of outbreaks of salmonellosis (Bean et al., 1992 Hutwagner et al., 1997).

Autoverification in the Clinical Hematology Laboratory

Most laboratory information system (LIS) vendors offer autoverification software that allows for user-defined options regarding specific ranges and values acceptable for autoverification, mirroring manual verification steps that exist under the laboratory's policy. The deployment of these applications provides for the auto-release of results to the patient record in real time, if established criteria are met. Criteria are set for autoverification (see Table 7-1) based on pre-defined ranges for each parameter in the CBC, and the type of delta checking (comparison of current and previous results for the same analyte for a given patient) used for that parameter. Such a system currently results in autoverification rates between 72 and 84 percent in our laboratory.

Gel Electrophoresis Based Sequencing Methods

For example, Myriad Genetic Laboratory's BRACAnalysis platform uses a laboratory information management system (LIMS), into which their mutation-screening software has been integrated, to track the entire mutation-screening process. Patient samples are tracked by barcode through each step from sample accession through PCR and sequencing until chromatograms have been created and analyzed. Similarly, laboratory reagents are tracked from receipt through preparation of PCR or sequencing reagent plates to completion of electrophoresis (94). The mutation-screening software is a particularly important component of this workflow. Instead of analyzing single chromatograms, Myriad's mutation-screening application operates by making a comparison between the forward-reverse chromatogram pair generated from each patient amplicon and a synthetic averaged forward-reverse chromatogram pair from that amplicon. In doing so, the software makes use of data not available to standard base callers such as...

Information Systems

Public Health Laboratory Information System The Public Health Laboratory Information System (PHLIS) is a surveillance system that collects results of microbiology cultures. The National Center for Infectious Diseases and the Association of State and Territorial Public Health Laboratory Directors began developing PHLIS in 1988. By the summer of 1989, nine states were reporting Salmonella sp. isolates electronically to CDC and to state epidemiologists. States also report Campylobacter sp., Mycobacteria sp., and Shigella sp. isolates. As of December 1992, PHLIS was in use in more than 40 states (CDC, 2003a).


Sequence verification and documentation is a crucial step in quality management. Careful handling of sequencing information is essential for reliable expression profiling results. Ideally, any data that is acquired during probe generation is documented in a laboratory information management system (LIMS) or another relational database, according to any special requirements, permitting optimal quality management of the complete array-production process.

Cereal Grains

The processor may contract this work to a private laboratory, which will maintain these data by using a laboratory information management system (Chapter 8) as well as send the data to its client. Neither client nor laboratory shares these data with any government agency routinely. The potential value of the data to biosurveillance derives from our ability to prevent the distribution of contaminated grain, the consumption of which could lead to a range of consequences among them is the real-life example of St. Anthony's fire,'' the nightmarish scenario in the small village France described early in the chapter.

Microarray Analysis

Fig. 10.3 Components of the microarray image and data analysis process. AIMS analysis information management system LIMS laboratory information management system Fig. 10.3 Components of the microarray image and data analysis process. AIMS analysis information management system LIMS laboratory information management system

Federal Laboratories

Although the capability and capacity of the federal laboratories described above is large, this capacity was challenged by the volume of environmental and clinical samples generated during the 2001 anthrax postal attack. The distribution of anthrax spores in mail during October 2001 led to an unprecedented demand for quality testing throughout the United States owing to discovery of real and suspected contaminations. Although few of the more than 125,000 environmental samples tested contained B. anthracis, the existing network of public and commercial laboratories was barely able to meet the demands for testing, and there were significant delays caused by the sheer volume of samples.The concept of a high-throughput laboratory capable of testing thousands of biologic, chemical, or radiological samples would require the laboratory to be equipped with the latest automated instrumentation and supported with an efficient LIMS (Layne and Beugelsdijk, 2003). The establishment


Chip Design Which genes probes clones LIMS Chip Construction Chip layout, printing AIMS Data Acquisition RNA extraction, labeling, hyb, Image capture LIMS ImageAnalysis Convert scanned Image to expression leve Is AIMS Data Analysis Normalization, filtering, clustering, Software classification, pattern discovery, biological interpretation