Publications by authors named "V V Lashin"

Performance of several library search algorithms (against EI mass spectral databases) implemented in commercial software products ( acd/specdb, chemstation, gc/ms solution and ms search) was estimated. Test set contained 1000 mass spectra, which were randomly selected from NIST'08 (RepLib) mass spectral database. It was shown that composite (also known as identity) algorithm implemented in ms search (NIST) software gives statistically the best results: the correct compound occupied the first position in the list of possible candidates in 81% of cases; the correct compound was within the list of top ten candidates in 98% of cases.

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Article Synopsis
  • The increase in food imports and contaminants has led to a greater need for analytical testing.
  • Traditional mass spectrometry methods focused on specific ions, which limited the identification of contaminants not on the target list.
  • This research aimed to develop software for rapid and accurate processing of LC/MS data to identify both targeted and nontargeted compounds, showing promising results for a fully automated solution.
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We propose and assess new algorithms for detecting and locating an object in multichannel images. These algorithms are optimal for additive Gaussian noise and maximize the likelihood of the observed images. We consider two cases, in which the illumination of the target and the variance of the noise in each channel are either known or unknown.

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Polychromatic object recognition based on circular whitening preprocessing of red-green-blue components and multichannel matched filtering is described. Computer simulations and experimental results are provided to facilitate recognizing a color target among objects of similar shape but with different color contents. Experimental results are obtained with an optical correlator with two spatial light modulators, one to introduce the scene and the second one to introduce the filter.

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The authors propose and implement a roentgenologist's IBM PC/AT-compatible computer-aided automatic working place designed for the digital processing and analysis of medical introscopic images. The two-levelled architecture of APM-BP software allows one to optimize the speed of computations and to apply as computer technologies the know-how and experience gained in solving specific problems in the analysis of informative features of medical images. A procedure for the digital processing of linear pulmonary tomograms by using the designed working place in order to solve the problems of preclinical diagnosis of peripheral lung cancer is described.

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