Posters
« Back
Pathways for Biological Reagent Quality and Workflow Tracking (CIMS)
EP20302
Poster Title: Pathways for Biological Reagent Quality and Workflow Tracking (CIMS)
Submitted on 19 Dec 2013
Author(s): Julian Willmott
Affiliations: TTP Labtech
Poster Views: 1,085
View poster »


Poster Information
Abstract: Biological reagents are the single most important factor in the success of assays. Use of poor or unsuitable biological materials can lead to huge wastage of time and resources. CIMS is a novel system that provides an unique combination of active tracking in the laboratory and desktop analysis software. It provides laboratories with easy-to-use data portals for gathering cell quality data such as cell viability, cell density and passage number. It associates these reagent quality data with plates and tracks their progress around the lab. Once assay screening has been performed, the screening results for plates are merged with the reagent quality data. The CIMS viewer application can then be used to quickly and easily identify whether poor or unexpected screening results were caused by biological factors. Summary: Biological reagents are the single most important factor in the success of assays. Use of poor or unsuitable biological materials can lead to huge wastage of time and resources. CIMS is a novel system that provides an unique combination of active tracking in the laboratory and desktop analysis software. Report abuse »
Creative Commons

Related Posters


Evaluation of the Orion Outlier Detection Algorithm for Data Streams
Nam Phung

A Novel Method For Discovery of Peripheral Blood Biomarkers in Idiopathic Pulmonary Fibrosis Using Extensive Depletion and TMTcalibratorTM Tissue-Enhanced Plasma Proteomics
I. Pike1, M. Bremang1, P.J. Wolters 2, R. Gaster3, S. Turner3, M. Decaris3

Addressing Technical, Legal and Diplomatic Obstacles To Combatting Human Trafficking Using DNA Databases Across National Boundaries
Michael J. Hennesseya, Jon Krollb, Jose A. Lorentec and Howard D. Cashb*

The EurOPDX EDIReX project: towards a European Research Infrastructure on patient-derived cancer models
E. Vinolo 1, J.P. Morris 1, D.G. Alférez 2, J. Arribas 3,4,5, C. Bernadó 3,4,5, A. Bertotti 6, A. Bruna 7, A.T. Byrne 8, C. Caldas 7, R.B. Clarke 2, N. Conte 9, R. Corsi 10, S. Corso 6, M. Crespo 3, A. Dahmani 11, V. Dangles-Marie 11, D. Decaudin 11, Z. Dudová 12, A. Fiori 6, S. Giordano 6, M. Hauptsmann 13, M. Hidalgo 14, C. Isella 6, S. de Jong 15, J. Jonkers 13, A. Křenek 12, O. Krijgsman 13, D. Kouřil 12, J.C. Lacal 14, L. Lanfrancone 16, E. Leucci 17, G.M. Mælandsmo 18, E. Marangoni 11, J. Mason 9, M.Th. Mayrhofer 19, A. Mazzocca 6, T.S. Meehan 9, E. Montaudon 11, F. Nem

Patient Opinion on the use of Artificial Intelligence in Medical Imaging
Dr Daniel H Kim