3results about How to "Avoid False Positive Results" patented technology

This invention discloses a method and system for detecting pathogens in the conjunctival sac using fluorescence staining image analysis, belonging to the field of medical image processing technology. The method includes: acquiring multi-wavelength fluorescence images and performing inter-channel differential operations to construct a spectral response surface; identifying regions of abrupt curvature changes to determine candidate pathogen locations; extracting radial fluorescence intensity distribution curves; calculating attenuation gradients and transition band width matching rules to determine pathogen types; acquiring temporal fluorescence intensity; screening locations where the intensity change rate exceeds an activity threshold as active pathogen locations; identifying the diffusion axis based on spatial distribution; calculating the spatial density gradient based on statistical density changes; coupling the intensity change rate to calculate the diffusion rate and determine the warning region; identifying abnormal pixels within the warning region; verifying continuous growth characteristics through temporal tracking; confirming and marking early infection areas. This invention improves detection accuracy and timeliness, enabling early warning.

This invention discloses a TaqMan real-time fluorescent PCR detection primer and probe set, kit, and detection method for Cuscuta pentaphyllum. The primer and probe set includes: an upstream primer C. pan F, whose nucleotide sequence is shown in SEQ ID NO.1; a downstream primer C. pan R, whose nucleotide sequence is shown in SEQ ID NO.2; and a TaqMan probe C. pan P, whose nucleotide sequence is shown in SEQ ID NO.3. The primers and probe target specific fragments of the rbcL gene sequence of Cuscuta pentaphyllum, achieving specific recognition of Cuscuta pentaphyllum through sequence complementarity matching. This avoids false positive results caused by cross-reactions with closely related species and host plants at the molecular targeting level, effectively solving the problem of difficulty in distinguishing closely related species in traditional morphological identification. Compared with traditional morphological identification and conventional PCR, this invention also features high detection efficiency, short processing time, simple operation, and wide applicability. It is suitable for precise identification in professional laboratories and can also meet the practical applications in grassroots quarantine and field monitoring scenarios.