Description of YLN-2000 gel image analysis software
Suitable for: gel electrophoresis map, thin layer electrophoresis map, image format supports TIF, PCX, BMP and JPG image analysis
1D leading program (one-dimensional gel electrophoresis)
Pretreatment: analysis of passivation and enhancement of weak bands
1D, PCR, TCL analysis simple reference swimming band
Test swimming belt, graphics, user-created file report and menu
Single-band or multi-band quantitative reports and notes
Report of all swimming bands on the gel
User-defined report quantification, identification, naming and arbitrary selection of 14 functions
Quantitative identification of 2D (two-dimensional) gel
Scan along or around the PCR band
Quantification of images: quantification of ellipses, circles, rectangles and random shapes
2D leading program (two-dimensional gel electrophoresis)
2D: Quantification and identification (molecular weight and isoelectric point), all or part
2D, PCR, in situ hybridization, DNA multi-image comparison
Comparison and comparison table test of all or some spots: reference (T / R) and% change (TR / R)
1D enhancement program supplement
Quantification and comparison of any two swimming bands, sample / reference / ratio and TR / R change ratio of each swimming band
Comparison between 1D and Others, graphics overlay, recognition graphics and comparison table
Arrangement of multiple graphics, comparison of graphics and lists,% homogenization
Average graph of all samples
Graphic recognition: Graphic recognition of test samples and reference products
Dynamic vision and quantitative comparison, superimpose one swimming belt and the next swimming belt and store it for analysis
Gene expression and 2D dynamic comparison, superimposing all or part of 2D, arrangement and storage for quantitative comparison
2D enhancement program supplement
Histogram of graphic comparison of image graphs: red (sample), green (reference object) ... the two are equal
Deduction chart
Regular superposition and dynamic comparison of gels
PCR, RFLP
Gene map, molecular weight and total weight interpretation, gene pairing, clustering and percent similarity analysis
PCR and RFLP: total and molecular weight interpretation
Single gene or protein and other similar percentages, gene fingerprints, and cluster analysis
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