Author

Kishwar Iqbal

University of OxfordORCID 0009-0001-7081-4347Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Assay:imaging· 1

Frequent Co-Authors

Jack BardziliD· 2 shared Jan Christoph ThieleiD· 2 shared Justin L. P. BeneschiD· 2 shared Philipp KukuraiD· 2 shared Stephen ThorpeiD· 2 shared Dan LoewenthaliD· 1 shared Dominik ŠamaniD· 1 shared Jack S. PetersiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersBiophysics

Jack BardzilORCID

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2 papers

Recent·Most cited

BiophysicsACS NanoPeer-reviewedJan 19, 2026

Deep learning-based event classification of mass photometry data for optimal mass measurement at the single-molecule level

Kishwar Iqbal, Jan Christoph Thiele, Dominik Šaman…·Philipp Kukura

This paper introduces a deep learning method to classify mass photometry events, improving single-molecule mass measurement accuracy by reducing artifacts and enhancing resolving power.

5 citationstop 1%

imagingdeep learning

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BiophysicsNature ProtocolsPeer-reviewedOct 13, 2025

Best practice mass photometry: A guide to optimal single molecule mass measurement

Jiří Kratochvíl, Raman van Wee, Jan Christoph Thiele…·Philipp Kukura

This paper provides guidelines for optimizing mass photometry to achieve high mass resolution and detection limits while maintaining simplicity.

20 citationstop 3%

experimental assay

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