Skip to main content
Toggle navigation
Login
Search
Home
Tweets by SLAS2022
Icon Legend
This session is not in your schedule.
This session is in your schedule. Click again to remove it.
Home
Browse by Poster Title
Browse by Poster Title
Browse by Poster Title
Type here to filter the list
All
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
X
Y
Z
#
Sort by
Title
I
Favorite
Identification of false positives in a HTRF screen for inhibitors of programmed cell death protein 1 and its ligand
Favorite
Identify Effective Therapeutics with Simple, Quantitative Cell-Based Assays to Measure Receptor Internalization
Favorite
iHEX – The mobile, connected lab of the future
Favorite
Improve your cell line development processes through accurate, low volume and rapid automated cell counting on the ICON instrument with the STUDIUS data management software
Favorite
Improvement of automation on a High-Throughput TRPML-1 calcium 6 FLIPR Tetra assay for Identifying TRPML1 agonist
Favorite
Improving Automated Liquid Handling Performance for Serum-Based Assays
Favorite
Improving the screening, selection and deep characterization of biotherapeutic molecules using high-throughput SPR
Favorite
In vitro DC:T assay development and miniaturization for Immunogenicity Risk Assessment automation platform
Favorite
Increasing Throughput of In Vivo Pharmacokinetic Sample Analysis Using Laboratory Automated Workflow and UHPLC-MS/MS System
Favorite
Induced Pluripotent Stem Cell-Derived Neural Organoids Incorporating Microglia for Interrogation of Neural Inflammation and Toxicity
Favorite
Intestinal organoids for automated screening assays. High content imaging and analysis of organoid morphology.
Favorite
Investigation of the Free Fatty Acid Receptor 2 and its role in the treatment of Type 2 Diabetes Mellitus
Favorite
ISOLIGHT technology: Cytokines profiles in patients with Psoriasis and Psoriatic Arthritis. Determination of similarities and differences within serum from individual patients
Favorite
Iterative Data Mining of a Cell Painting Multiparametric Dataset Allows Rapid Identification of Phenotypes of Interest.
Back to Top