Harshith Bachimanchi is shortlisted as one of the RMS early-career award speakers at RMS annual general meeting 2024, London, UK on 2 October 2024

The three RMS Early Career Award speakers (l to r) Harshith Bachimanchi, Akaash Kumar and Liam Rooney. (Image by RMS.)
Harshith Bachimanchi is shortlisted as one of the RMS (Royal Microscopical Society) early-career award speakers at RMS AMG 2024 (RMS Annual General Meeting 2024) held in London, UK, on 2 October 2024.

In this meeting, Harshith presented his work on leveraging deep learning as a powerful tool to enhance the microscopic data analysis pipelines, to study microorganisms in unprecedented detail. Taking holographic microscopy as an example, he demonstrated that combining holography with deep learning can be used to follow marine micro-organisms through out their lifespan, continuously measuring their three-dimensional positions and dry mass. He also presented some recent results on using deep learning to transform microscopy images from one modality to another (For eg., from Holography to Bright-field and vice versa).

The articles related to his presentation can be found at the following links:
1. Microplankton life histories revealed by holographic microscopy and deep learning.
2. Deep-learning-powered data analysis in plankton ecology

The annual Early Career Award—for which Harshith is shortlisted as one of the potential candidates—recognises the achievements of an outstanding early career imaging scientist in their contribution to microscopy, image analysis, or cytometry.

From RMS:

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