Abdullah Ahmed , Ph.D.

Abdullah Ahmed

Dr. Abdullah Ahmed studied at Oxford Brookes University where he pursued a joint PhD project between the University and Evotec, focusing on characterization of the mechanism of cancer signalling to provide novel targets and cures. Based at the Central Laser Facility (CLF) in Harwell Oxford, he used a variety of different microscope systems to further his research on mTOR signaling employing fixed cell and live cell imaging using advanced microscopy. He developed and used fluorescent imaging technologies to observe localisation and interactions of proteins in conjunction with FRET–FLIM (Förster resonance energy transfer measured by fluorescence lifetime imaging microscopy). After finishing his studies, he joined Leica Microsystems in 2019 as an Advanced Workflow Specialist (4 years) and as of 2023 has joined the Global Business Excellence team as the Global Business Excellence Manager for widefield microscopy.

Digital microscopy simplifies documenting cell-culture results electronically while following 21 CFR part 11 guidelines for biopharma.

Introduction to 21 CFR Part 11 for Electronic Records of Cell Culture

This article provides an introduction to the recommendations of 21 CFR Part 11 from the FDA, specifically focusing on the audit trail and user management in the context of cell-culture laboratories.…

Multiplexed Cell DIVE imaging to characterize the spatial landscape in Human Alzheimer’s Cortical Tissue

Probing Human Alzheimer's Cortical Section using Spatial Multiplexing

Alzheimer’s disease (AD) is the most common neurodegenerative disease and is characterized by the progressive decline of cognitive function. Spatial profiling of AD brain may reveal cellular…

AI-based transfection analysis (left) of U2OS cells which were transfected with a fluorescently labelled protein. A fluorescence image of the cells (right) is also shown. The analysis and imaging were performed with Mateo FL.

Leveraging AI for Efficient Analysis of Cell Transfection

This article explores the pivotal role of artificial intelligence (AI) in optimizing transfection efficiency measurements within the context of 2D cell culture studies. Precise and reliable…

AI-based cell counting performed with a phase-contrast and fluorescence image using the Mateo FL microscope.

Precision and Efficiency with AI-Enhanced Cell Counting

This article describes the use of artificial intelligence (AI) for precise and efficient cell counting. Accurate cell counting is important for research with 2D cell cultures, e.g., cellular dynamics,…

Image of confluent cells taken with phase contrast (left) and analyzed for confluency using AI (right).

AI Confluency Analysis for Enhanced Precision in 2D Cell Culture

This article explains how efficient, precise confluency assessment of 2D cell culture can be done with artificial intelligence (AI). Assessing confluency, the percentage of surface area covered,…

40x magnification of organoids cluster taken on Mateo TL.Cell type: esophageal squamous carcinoma; scale bar 15µm. Courtesy of bioGenous, China.

Overcoming Observational Challenges in Organoid 3D Cell Culture

Learn how to overcome challenges in observing organoid growth. Read this article and discover new solutions for real-time monitoring which do not disturb the 3D structure of the organoids over time.

3D-volume-rendered light-sheet microscope image of a spheroid showing depth coding in different colors.

Imaging of Anti-Cancer Drug Uptake in Spheroids using DLS

Spheroid 3D cell culture models mimic the physiology and functions of living tissues making them a useful tool to study tumor morphology and screen anti-cancer drugs. The drug AZD2014 is a recognized…