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At least 127 records · Page 7Linked to original sources
PubMed2005

Failure of bedside ABO testing is still the most common cause of incorrect blood transfusion in the Barcode era.

BACKGROUND AND OBJECTIVES: ABO-incompatible red blood cell (RBC) transfusions are a major risk in transfusion medicine. Identification of factors leading to this hazard is important to improve transfusion safety. MATERIAL AND METHODS: All consecutive erroneous ABO-incompatible transfusions occurring from January 1997 to December 2004 at the Charité University Hospital in Berlin, Germany were analysed. RESULTS: A total of 343,432 RBC units were transfused, and eight patients erroneously received 13 ABO-incompatible RBC concentrates. The most frequent error was incorrect bedside testing (n=7). Intensive care treatment was required in two cases, but there were no fatal mistransfusions. Four patients had no or only mild reactions. CONCLUSION: Mistransfusions are still a considerable risk in transfusion medicine despite quality control systems and electronic data processing. An increase in transfusion safety may require the introduction of further systems, e.g. radio-frequency identification (RFID) tags.

ABO Blood-Group System↗
PubMed1999

The Kautsky curve is a built-in barcode.

We identify objects from their visually observable morphological features. Automatic methods for identifying living objects are often needed in new technology, and these methods try to utilize shapes. When it comes to identifying plant species automatically, machine vision is difficult to implement because the shapes of different plants overlap and vary greatly because of different viewing angles in field conditions. In the present study we show that chlorophyll a fluorescence, emitted by plant leaves, carries information that can be used for the identification of plant species. Transient changes in fluorescence intensity when a light is turned on were parameterized and then subjected to a variety of pattern recognition procedures. A Self-Organizing Map constructed from the fluorescence signals was found to group the signals according to the phylogenetic origins of the plants. We then used three different methods of pattern recognition, of which the Bayesian Minimum Distance classifier is a parametric technique, whereas the Multilayer Perceptron neural network and k-Nearest Neighbor techniques are nonparametric. Of these techniques, the neural network turned out to be the most powerful one for identifying individual species or groups of species from their fluorescence transients. The excellent recognition accuracy, generally over 95%, allows us to speculate that the method can be further developed into an application in precision agriculture as a means of automatically identifying plant species in the field.

Biophysical Phenomena↗
PubMed2002

Universal inheritable barcodes for identifying organisms.

The needs for recognition of novel conventional or transgenic organisms include protection of patented or Identity Preserved lines, detecting transgenics and tracing dispersal. We propose simple 'Biobarcodes' using universal PCR primers to recognize the universal 'nonsense' recognition site of all biobarcodes, followed by a variable nonsense sequence. The proposed sequences are long enough to allow recognition in spite of mutations, have stop codons to prevent coding, and will not self anneal. Sequences of PCR-amplified biobarcodes can be compared to a universal database.

DNA, Plant↗
PubMed2003

BARCODE-ALL: accelerated and cost-effective genetic risk stratification in acute leukemia using spectrally addressable liquid bead microarrays.

An increasing number of risk-stratifying genetic lesions in acute leukemia are being discovered and characterized. To translate this important and increasing volume of information from the research laboratory into effective clinical care, however, new, fast and comprehensive assays are needed. Toward this end, we have developed a two-stage multiplexing assay of broad applicability, which combines multiplex polymerase chain reaction with multiplex detection on spectrally addressable liquid bead microarrays. Using pediatric lymphoblastic leukemia as a model system, we demonstrate that all seven of the fusion transcripts resulting from risk-stratifying chromosomal translocations can be assayed in a single well of a 96-well multiplate with 100% specificity and sensitivity, within 6 h of specimen collection. The assay is automatic and high throughput and represents a significant improvement over previously available assays targeting the same genetic changes. We conclude that user-defined assays that multiplex both target selection and detection may have broad applicability in the management of hematological malignancies.

Automation↗