Title: FLOPTICS: A Novel automated gating technique for flow cytometry data
Cover Date: 2020-01-01
Cover Display Date: 2020
DOI: 10.5220/0009426300960102
Description: Flow cytometry (FCM) involves the use of optical and fluorescence measurements of the characteristics of individual biological cells, typically in blood samples. It is a widely used standard method of analysing blood samples for the purpose of identifying and quantifying the different types of cells in the sample, the result of which are used in medical diagnoses. The multidimensional dataset obtained from FCM is large and complex, so it is difficult and time-consuming to analyse manually. The main process of differentiation and therefore labelling of the populations in the data which represent types of cells is referred to as Gating: Gating is the first step of FCM data analysis and highly subjective. Significant amounts of research have focussed on reducing this subjectivity, however a faster standard gating technique is still needed. Existing automated gating techniques are time-consuming or need many user-defined parameters which affect the differentiation to different clustering results. This paper presents and discusses FLOPTICS: A novel automated gating technique that is a combination of density-based and grid-based clustering algorithms. FLOPTICS has an ability to classify cells on FCM data faster and with fewer user-defined parameters than many state-of-the-art techniques, such as FlowGrid, FlowPeaks, and FLOCK.
Citations: 0
Aggregation Type: Conference Proceeding
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Title: DR code: The two dimensions barcode supporting high rate data recovery
Cover Date: 2013-12-01
Cover Display Date: 2013
DOI: 10.1109/CSE.2013.180
Description: This study proposed DR Code (Data Restorable Code) which is the two-dimension barcode endurable to the data loss. We aimed to present the design and affirm that our proposed DR Code is easier to be restored than the QR Code being broadly used today. As H-level QR Code, a model of QR Code that can be restorable the most, in which 30% of the data could be recovered from two types of the data loss, we found that our DR Code could recover 33% of the lost data and applicable for six cases of data loss. Besides, this DR Code applies a simpler algorithm of the data loss in which XOR is used instead of the complicated Reed-Solomon error correction. Thus, our DR Code can be rapidly processed and easier to be implemented, as well as being applicable for industry and logistics sectors. © 2013 IEEE.
Citations: 0
Aggregation Type: Conference Proceeding
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