Mara Lampert, Author at FocalPlane

Mara Lampert

Hi! My name is Mara. I am studying computational modelling and simulation in life sciences and am working as a student assistant at ScaDS.AI in Leipzig in the group of Dr. Robert Haase. I would like to facilitate and increase the exchange between computer scientists and biologists. Hereby, I focus on bio-image analysis applications. Happy reading and coding!

About Mara Lampert

Scientific field: Computational biology

Microscopy background: Image Analysis

Posts by Mara Lampert

From Click to Code: Reproducibility in Bio-image Analysis

Posted by Mara Lampert, on 5 August 2025

Reproducibility is at the heart of good science. But when it comes to bio-image analysis, it can feel difficult to achieve. Complex datasets, shifting software environments, and countless manual tweaks often make it hard to retrace your own steps and share workflows with others. An aim should be to package the entire analysis, like code, data

Prompt Engineering in Bio-image Analysis

Posted by Mara Lampert, on 18 July 2024

Prompt engineering and its importance Communication is key. This saying is not only true in day-to-day life, but also when interacting with Generative Artificial Intelligence, a system able to generate text, images or other output types in response to prompts. In prompt engineering, we use natural language to describe the task that a Large Language

How to write a bug report

Posted by Mara Lampert, on 3 April 2024

Imagine you try out a software tool for the analysis of your data and for some reason it is not working in the way you expected. Neither the user documentation, nor forums like image.sc or stack overflow can provide answers. Then it is likely that you either found a bug in the software tool or

Tracking in napari

Posted by Mara Lampert, on 1 June 2023

In this blog post we are exploring cell tracking in napari. Two important processes in normal tissue development and disease are cell migration and proliferation. To gain a better understanding on these processes, tracking in time-lapse datasets is needed. By measuring track properties, like velocity and the total travelled distance, spatio-temporal relationships can be studied.

Feature extraction in napari

Posted by Mara Lampert, on 3 May 2023

This blog post revolves around extracting and selecting features from segmented images. We will define the terms feature extraction and selection. Also, we will learn how to categorize features and can look up specific features in a glossary. Furthermore, we will explore how to extract features in napari. Definition of feature extraction During feature extraction,