Abstract: An image processing system extracts parts or characteristics of interest from prepared biological samples One suitable use of the image processing system is to find biomarkers. But many other suitable uses are possible. Some components of the system include image preprocessing (data interpolation, retention time alignment, image noise filtering, background estimation, and formation of a composite image); image feature extraction (peaks, isotope groups, and charge groups); and computation of feature characteristics and expression statistics, differential expression, and non-differential expression. Outputs of the system include a candidate list of parts or characteristic of interest for aiding further discovery.

Abstract: An image processing system extracts parts or characteristics of interest from prepared biological samples One suitable use of the image processing system is to find biomarkers. But many other suitable uses are possible. Some components of the system include image preprocessing (data interpolation, retention time alignment, image noise filtering, background estimation, and formation of a composite image); image feature extraction (peaks, isotope groups, and charge groups); and computation of feature characteristics and expression statistics, differential expression, and non-differential expression. Outputs of the system include a candidate list of parts or characteristic of interest for aiding further discovery.

Abstract: An image processing system extracts parts or characteristics of interest from prepared biological samples One suitable use of the image processing system is to find biomarkers. But many other suitable uses are possible. Some components of the system include image preprocessing (data interpolation, retention time alignment, image noise filtering, background estimation, and formation of a composite image); image feature extraction (peaks, isotope groups, and charge groups); and computation of feature characteristics and expression statistics, differential expression, and non-differential expression. Outputs of the system include a candidate list of parts or characteristic of interest for aiding further discovery.

Abstract: A technique for finding paired isotope groups of peptides, metabolic materials, or other materials is executed without having to identify features. Any suitable isotopic labeling methods, such as SILAC or ICAT, can be used. The technique can identify isotope pairs by pairing heavy and light labeled peptides based on mono-isotopes. The technique searches for isotope groups that have retention time and mass/charge within given tolerances, adjustable by users. Multiple label sites are supported as well as reverse-labeling to inhibit or reduce biases. Multiple replicates can be merged into a composite image.

Abstract: An image processing system extracts parts or characteristics of interest from prepared biological samples One suitable use of the image processing system is to find biomarkers. But many other suitable uses are possible. Some components of the system include image preprocessing (data interpolation, retention time alignment, image noise filtering, background estimation, and formation of a composite image); image feature extraction (peaks, isotope groups, and charge groups); and computation of feature characteristics and expression statistics, differential expression, and non-differential expression. Outputs of the system include a candidate list of parts or characteristic of interest for aiding further discovery.

Abstract: A device for therapeutic action on a human organism has a hermetically closed housing composed of a material which is transparent for extra high frequency radiation, a generator accommodated in the housing and generating extra high frequency radiation in the range of 36-78 GHz, and a modulator modulating the radiation which is generated by the generator with a frequency of a low frequency in the range of 0.1-9.8 Hz so as to provide a resulting radiation which is specific for a corresponding pathology of the human organism.