Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

F Lampariello

Showing results (1-10 of 6) with videos related to

Pageof 1
Sort By:
Cytometry|April 1, 1994
Evaluation of the number of positive cells from flow cytometric immunoassays by mathematical modeling of cellular autofluorescenceF Lampariello
Cytometry|February 24, 2000
On the use of the Kolmogorov-Smirnov statistical test for immunofluorescence histogram comparisonF Lampariello
IEEE Transactions on Neural Networks|February 6, 2008
Efficient training of RBF neural networks for pattern recognitionF Lampariello, M Sciandrone
Cytometry|July 17, 1998
Complete mathematical modeling method for the analysis of immunofluorescence distributions composed of negative and weakly positive cellsF Lampariello, A Aiello
Cytometry|January 1, 1991
Comparison of gaussian and t-distribution densities for modeling fluorescence dispersion in flow cytometric DNA histogramsF Lampariello, G Sebastiani, E Cordelli, et al.
Cytometry|January 1, 1989
Automatic analysis of flow cytometric DNA histograms from irradiated mouse male germ cellsF Lampariello, F Mauro, R Uccelli, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Cytometry|April 1, 1994
Evaluation of the number of positive cells from flow cytometric immunoassays by mathematical modeling of cellular autofluorescenceF Lampariello
Cytometry|February 24, 2000
On the use of the Kolmogorov-Smirnov statistical test for immunofluorescence histogram comparisonF Lampariello
IEEE Transactions on Neural Networks|February 6, 2008
Efficient training of RBF neural networks for pattern recognitionF Lampariello, M Sciandrone
Cytometry|July 17, 1998
Complete mathematical modeling method for the analysis of immunofluorescence distributions composed of negative and weakly positive cellsF Lampariello, A Aiello
Cytometry|January 1, 1991
Comparison of gaussian and t-distribution densities for modeling fluorescence dispersion in flow cytometric DNA histogramsF Lampariello, G Sebastiani, E Cordelli, et al.
Cytometry|January 1, 1989
Automatic analysis of flow cytometric DNA histograms from irradiated mouse male germ cellsF Lampariello, F Mauro, R Uccelli, et al.
Pageof 1