This report describes the development and evaluation of an enzyme-linked immunosorbent assay (ELISA) for the detection of antibodies to Entamoeba histolytica. Highly sensitive and reproducible results were obtained in antigencoated plates prepared by air-drying at 370C. Comparison of the ELISA with indirect fluorescent antibody and indirect hemagglutination techniques showed that the former was slightly more sensitive than the two latter methods. The specificity was evaluated by testing specially chosen population groups. ELISA was negative in 96.4% of 693 normal adults and children and in 96.6% of 377 patients with various parasitic, bacterial, mycotic, and other clinical diseases. The assay was positive in 26% of 461 patients with suspected amebiasis and in all of 53 patients with amoebic liver abscess. The ELISA was found to be a specific, highly sensitive, and reliable procedure for detecting anti-E. histolytica antibodies in humans.
We studied the serological reaction between various antigenic components from Cysticercus cellulosae and IgG antibodies in sera of cysticercosis, sparganosis, hydatidosis patients and normal humans by ELISA and EITB. In serological tests by ELISA, we recognized cross reaction of Cysticercus antigenic components with IgG antibodies in heterologous sera such as sparganosis and hydatidosis patients or normal humans. The crude antigenic components of Cysticercus showed lower ELISA sensitivity in homologous sera from cysticercosis patients than heterologous sera from hydatidosis patients. A total of 31 polypeptide bands with 260 KDa-22 KDa molecular weights were detected by SDS-PAGE, and 11 of them showed strong intensity. Total 22 components of them were recognized by IgG antibodies in cysticercosis patients sera. However, 12 of them were recognized also by normal human sera, 11 were by sparganosis sera, and 21 were by hydatidosis patients sera. The crude antigenic components of 104 KDa, 82 KDa, 72 KDa, 59 KDa and 34 KDa molecular weights were nonspecific ones, which cross-reacted with sera of either cysticercosis, sparganosis, hydatidosis patients or normal humans.
The workfow of DiLogics. (Step 1) To create web automation programs for data entry tasks, users frst upload an input fle, which is semantically segmented into the steps representing diferent task specifcations ○ a . Users can edit inaccurately segmented steps ○ b . (Step 2) Users then follow a carousel of current steps ○ c and demonstrate the corresponding UI actions to fulfll each specifcation. DiLogics highlights semantically relevant web page elements, guiding users to perform demonstrations ○ d . (Step 3) After two iterations of demonstrations, DiLogics learns the mappings between diferent steps and actions and automates the remaining task steps, generalizing GUI actions based on the specifcation's semantic meaning. Users can refne the program logics ○ e at any stage of execution by editing the steps or adding new demonstrations ○ f .
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