Optical Scanner for Immunoassays With Up-Converting Phosphorescent Labels

Li, J.J.; Ouellette, Amy; Giovangrandi, Laurent; Cooper, David E.; Ricco, Antonio J.; Kovacs, G.T.A.

doi:10.1109/tbme.2007.914674

Cited by 52 publications

(36 citation statements)

References 54 publications

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“…For comparison, an ESEQuant lateral flow reader (QI-AGEN, Germany) was tested. Results are shown in Table 6, which indicates that the SD and CV of V T /V C were lower than those of test results of the proposed LFIA strip reader. Therefore, ESEQuant has better detection stability at low concentrations.…”

Section: Strip Testmentioning

confidence: 82%

“…As per literature, based on the operating principles and the pertinent system hardware, all LFIA systems can be categorized into two groups -CCD (chargedcouple device) or CMOS (complementary metal-oxidesemiconductor transistor) based imaging system and scanning system [5][6][7][8]. The CCD based systems include an image capture unit (camera or image scanner), and an image processing unit (computer or embedded computer).…”

Section: Introductionmentioning

confidence: 99%

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A Lateral Flow Immunochromatographic Assay (LFIA) Strip Reader Based on Scheduler and 8051 IP Core

Wei

Gao

Li³

et al. 2016

Automatika

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Original scientific paperLateral flow immunochromatographic assay (LFIA) testing is essential for accurate detection and diagnoses of diseases and physical conditions. However, the existing LFIA strip reader equipped with high cost of hardware confines its simplicity and portability. Therefore, this study develops a simple, low cost LFIA strip reader comprising 4 major modules -mechanical, optical, processing and control modules. The mechanical module pulls in and out the test strip automatically to be read by the optical module and the data processing module provides the test results by analyzing the data sent by the optical module. All the individual modules are controlled by a control module. To reduce the hardware budget and control complexity, a time-triggered cooperative (TTC) scheduler implemented on an 8051 IP core was chosen as control system. In addition, special, high sensitivity C-reactive protein (CRP) strips with 10 different concentrations were tested to evaluate the performance of the system. Further, a commercial ESEQuant lateral flow reader (QIAGEN, Germany) was tested as a comparative study. The test results show that the proposed reader was stable with a coefficient of variation (CV) factor within 3%. To test the qualitative performance of the system, each of the CRP concentration were examined for 10 times, which indicates that the system has a large dynamic detection range and good detection linearity (R 2 = 0.998). In short, the proposed LFIA strip reader has high potential relative to existing readers, especially in simplicity and cost. Imunokromatografsko testiranje lateralnog toka (LFIA)čitača trake temeljeno na rasporedu i 8051 IP jezgri. Imunokromatografsko testiranje lateralnog toka (LFIA) nužno je za preciznu detekciju i dijagnozu oboljenja te psihičkih stanja. Meutim, postojeći LFIA opremljeni s hardverom visoke cijene limitiraju jednostavnost i prenosivost. Ovo istraživanje razvija jednostavni, niske cijene,čitač traka koji se sastoji od 4 glavna dijelamehanički, optički, procesni i upravljački. Mehanički modul povlači testnu traku automatski kako bi optički modul mogaočitati. Procesni modul analizira podatke dobivene s optičkogčitača. Svaki modula upravlja se upravljačkim modulom. Vremensko ovisno kooperativni raspored implementiran je na 8051 IP jezgri kako bi se smanjili računski zahtjevi. Dodatno, visoko osjetljiva CRP traka s deset različitih koncentracija korištena je u svrhe evaluacije sustava. Rezultati su usporeeni s komercijalnimčitačem lateralnog toka ESEQuant (QIAGEN, Njemačka). Rezultati pokazuju da je predložena metoda stabilna s koeficijentom varijacije unutar 3%. Kako bi se kvalitativno testirao sustav, svaka od CRP koncentracija testirana je deset puta, što ukazuje da sustav veliki dinamički raspon detekcije te dobru linearnost detekcije (R 2 = 0.998). Predloženi LFIAčitač traka ima dosta potencijala u usporedbi s postoječimčitačima, posebno u smislu jednostavnosti i cijene.

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Section: Strip Testmentioning

confidence: 82%

Section: Introductionmentioning

confidence: 99%

A Lateral Flow Immunochromatographic Assay (LFIA) Strip Reader Based on Scheduler and 8051 IP Core

Wei

Gao

Li³

et al. 2016

Automatika

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“…Additionally, some physiological conditions such as pregnancy, blood glucose level, drugs of abuse, cholesterol, food poisoning are easily diagnosed by user themselves [1]. There are different types RDTs such as microfluidic Chip immunoassay [2], dipstick [3], pads [4], cassette test [5], and LFS [6][7][8]. Especially, RDTs are implemented in any developing countries even bad and inadequate conditions easily [9,10] To diagnose H. Pylori, LFS-RDT is used routinely.…”

Section: Introductionmentioning

confidence: 99%

Rapid Daignostic Lateral Flow Strip Test Reader

Özkan¹

2017

Balkan Journal of Electrical and Computer Engineering

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Abstract-Non-invasive rapid diagnostic tests (RDT) are commonly used to detect some kind of viruses or bacteria instead of invasive methods. Helicobacter pylori (H. Pylori) which causes gastric cancer, peptic ulcer, gastritis, mucosa-associated lymphoid tissue lymphoma diseases can be detected easily with lateral flow strip (LFS) that is one of the RDT types. The tests are evaluated whether there are control line and test line at the region of interest (ROI) by users or microbiology technicians manually. Once the test line is tentative, despite the test must be reported positive, it can be resulted as negative incorrectly. This incorrect diagnose causes incorrect treatment planning. In this work, to mitigate this problem which will be able to occur by human based, an automatic LFS-RDT reading system is developed. The computer laptop based system firstly takes image utilizing the holders that are designed with 3D printer. Whether the test have the control-test lines or not are carried out by image processing techniques straightforwardly. After feature extraction from line areas, k-NN classification method is used to evaluate the test results automatically. 100 LFS-RDTs are tested and observed that all results are correct. The system is found quite useful and approved as a second reader by medical technicians.

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“…On the other hand, the quantitative instrument of lateral flow immunoassay has been developed that has stirred a great deal of research attention (see e.g. [5,8,9,16,18,19,28]). …”

mentioning

confidence: 99%

“…[8,9,19]. In this case, mechanical scanning devices are needed which might cause slow operation with bulky style.…”

mentioning

confidence: 99%

Image-Based Quantitative Analysis of Gold Immunochromatographic Strip via Cellular Neural Network Approach

Zeng

Wang

Zineddin

et al. 2014

IEEE Trans. Med. Imaging

143

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Abstract-Gold immunochromatographic strip assay provides a rapid, simple, single-copy and on-site way to detect the presence or absence of the target analyte. This paper aims to develop a method for accurately segmenting the test line and control line of the gold immunochromatographic strip (GICS) image for quantitatively determining the trace concentrations in the specimen, which can lead to more functional information than the traditional qualitative or semi-quantitative strip assay. The canny operator as well as the mathematical morphology method is used to detect and extract the GICS reading-window. Then, the test line and control line of the GICS reading-window are segmented by the cellular neural network (CNN) algorithm, where the template parameters of the CNN are designed by the switching particle swarm optimization (SPSO) algorithm for improving the performance of the CNN. It is shown that the SPSO-based CNN offers a robust method for accurately segmenting the test and control lines, and therefore serves as a novel image methodology for the interpretation of GICS. Furthermore, quantitative comparison is carried out among four algorithms in terms of the peak signal-to-noise ratio. It is concluded that the proposed CNN algorithm gives higher accuracy and the CNN is capable of parallelism and analog VLSI (very-large-scale integration) implementation within a remarkably efficient time.

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Optical Scanner for Immunoassays With Up-Converting Phosphorescent Labels

Cited by 52 publications

References 54 publications

A Lateral Flow Immunochromatographic Assay (LFIA) Strip Reader Based on Scheduler and 8051 IP Core

A Lateral Flow Immunochromatographic Assay (LFIA) Strip Reader Based on Scheduler and 8051 IP Core

Rapid Daignostic Lateral Flow Strip Test Reader

Image-Based Quantitative Analysis of Gold Immunochromatographic Strip via Cellular Neural Network Approach

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