Team

The people in the lab

Team Group Picture

Gioele La Manno

Assistant Professor

Federica Schiavetti

Technical Employee

Laurine Yue Song

Project Student

Marco Fogli

Postdoctoral Researcher

Mariami Melishvili

Project Student

Shabnam Zareshahraki

Project Student

Silvia Avanzi

Administrative Assistant

Tecla Duran Fort

Project Student

Thomas van Spaendonk

Project Student

Lada Polyakova

Doctoral Student

Evangelia Skoufa

Lab Technician

Laura Lapeña Gil

Doctoral Student

Alireza Gargoorimothlag

Doctoral Student

Morgane Storey

Doctoral Student

Xinyi Huang

Doctoral Student

Luca Fusar Bassini

Doctoral Student

Alessandro Valente

Doctoral Student

Rosan Hans

Industrial Doctoral Student

Albert Dominguez Mantes

Doctoral Student

Alumni

Previous members

Outreach

Popular science, News and Media

Eppendorf & Science Prize for Neurobiology 2026

Gioele La Manno receives the 2026 prize for research on brain lipid diversity. Read the announcement and the Science essay.

Lipid Brain Atlas published in Nature

Our atlas maps the molecular geography of brain lipids, revealing 539 lipizones. Read the Nature paper and explore the data.

Gioele selected as a FENS-Kavli Scholar 2026

Gioele La Manno has been selected to join the FENS-Kavli Network of Excellence as one of the 15 FENS-Kavli Scholars of the 2026–2030 cohort, a network of outstanding early- and mid-career neuroscientists from across Europe.

MuViT at CVPR 2026

A CVPR Highlight paper by Albert Dominguez Mantes, Gioele La Manno, and Martin Weigert explores learning across scales in microscopy.

Boehringer Ingelheim FENS Research Award 2026

Gioele La Manno has been awarded the Boehringer Ingelheim FENS Research Award 2026 for outstanding and innovative contributions to neuroscience, recognising his work on brain development, RNA velocity, and single-cell and spatial lipidomics.

Highly Cited Researcher 2025

Gioele La Manno is included in Clarivate’s 2025 Highly Cited Researchers list.

ERC Starting Grant MOVIOLA

The lab has been awarded an ERC Starting Grant (1.5M euros, 2026-2031) for the project MOVIOLA: Cell decision capture and control via joint Raman live and omics profiling, to understand molecular determinants of neural cell fate decisions.

Mapping the lipid blueprint of life in 4D

By combining imaging mass spectrometry and a new computational framework called uMAIA, we tracked more than 100 types of lipids in space and time in the developing zebrafish embryo, revealing how lipids form highly organized patterns that correspond to anatomical structures. Published in Nature Methods.

Spotiflow published in Nature Methods

Our collaborative work on Spotiflow, a deep learning method for subpixel-accurate spot detection in fluorescence microscopy, has been published in Nature Methods. The method achieves state-of-the-art performance while being robust to different noise conditions.

Highly Cited Researcher 2024

Gioele La Manno is included in Clarivate’s 2024 Highly Cited Researchers list.

Lab News

More Posts

Selected Publications

The first comprehensive lipidomic atlas of the adult mouse brain, mapping 172 membrane lipids and identifying 539 spatially coherent biochemical domains (lipizones).
Nature, 2026

Learning across scales in microscopy, from cellular details to tissue context.
CVPR, 2026

We present uMAIA, an analytical framework for spatial lipidomics, and use it to map the 4D distribution of over a hundred lipids in the developing zebrafish embryo, revealing metabolic trajectories that unfold in concert with morphogenesis.
Nature Methods, 2025

Spotiflow is a deep learning method for subpixel-accurate spot detection in fluorescence microscopy that achieves state-of-the-art performance while being robust to different noise conditions.
Nature Methods, 2025

VeloCycle is a Bayesian RNA velocity model enabling formal statistical testing of gene expression dynamics in single-cell data, used to identify developmental modulations of the cell cycle.
Nature Methods, 2024

Cell-to-cell lipid heterogeneity affects the determination of cell states, adding a new regulatory component to the self-organization of multicellular systems.
Science, 2022

Human embryonic stem cell-derived retinal pigment epithelial cells (hESC-RPE) are studied as potential treatment for age-related macular degeneration (AMD). The study conducts single-cell transcriptomic profiling of an hESC-RPE differentiation protocol developed for clinical use, demonstrating its ability to produce a pure RPE pool.
Stem Cell Reports, 2022

We report a comprehensive single-cell transcriptomic atlas of the embryonic mouse brain between gastrulation and birth. We identified almost eight hundred cellular states that describe a developmental program for the functional elements of the brain and its enclosing membranes.
Nature, 2021

We describe an imaging-free framework to localize high-throughput readouts within a tissue by cutting the sample into thin strips in a way that allows subsequent image reconstruction. We applied the technique to the brain of the Australian bearded dragon, Pogona vitticeps. Our results reveal the molecular anatomy of the telencephalon of this lizard, providing evidence for a marked regionalization of the reptilian pallium and subpallium.
Nature Biotechnology, 2021

Here we show that RNA velocity - the time derivative of RNA abundance - can be estimated by distinguishing unspliced and spliced mRNAs in standard single-cell RNA sequencing protocols. RNA velocity is a vector that predicts the future state of individual cells on a timescale of hours.
Nature, 2018

Publications

More Publications

. Tissue Reassembly with Generative AI. Nature Methods (In press), 2026.

Preprint

. Fats that think?. Science, 2026.

PDF

. The lipidomic architecture of the mouse brain. Nature, 2026.

Preprint PDF Explore the atlas Code

. MuViT: Multi-Resolution Vision Transformers for Learning Across Scales in Microscopy. CVPR, 2026.

PDF Code

. Distinct radial glia subtypes regulate midbrain dopaminergic neuron development. Nature Neuroscience, 2026.

Preprint PDF

. Specialized signaling centers direct cell fate and spatial organization in a mesodermal organoid model. Science Advances, 2025.

Preprint PDF

. Unified Mass Imaging Maps the Lipidome of Vertebrate Development. Nature Methods, 2025.

PDF Code

. Spotiflow: accurate and efficient spot detection for fluorescence microscopy with deep stereographic flow regression. Nature Methods, 2025.

PDF Code

. Statistical inference with a manifold-constrained RNA velocity model uncovers cell cycle speed modulations. Nature Methods, 2024.

PDF Code

. The Lipotype hypothesis. Nature Reviews MCB, 2022.

PDF

. Sphingolipids Control Dermal Fibroblast Heterogeneity. Science, 2022.

PDF PubMed

. Self-organizing in vitro mouse neural tube organoids mimic embryonic development. Development, 2022.

PDF

. Molecular profiling of stem cell-derived retinal pigment epithelial cell differentiation established for clinical translation. Stem Cell Reports, 2022.

PDF

. Clonal relations in the mouse brain revealed by single-cell and spatial transcriptomics. Nature Neuroscience, 2022.

PDF PubMed

. Confronting false discoveries in single-cell differential expression. Nature Communications, 2021.

PDF

. Molecular architecture of the developing mouse brain. Nature, 2021.

PDF Supplementary

. Spatial tissue profiling by imaging-free molecular tomography. Nature Biotechnology, 2021.

PDF Data Code

. Cell type prioritization in single-cell data. Nature Biotechnology, 2020.

PDF Code

. The emergence and promise of single-cell temporal-omics approaches. Curr Opin Biotechnol, 2020.

PDF

. RNA velocity in single cells. Nature, 2018.

PDF Supplementary

Funding

Supported by

Lab Life

Life in the La Manno Lab

Lab Retreat 2026

Lab retreat in Le Locle, Switzerland

Software

Explore our open-source software and interactive research resources:

EUCLID

Methods and tutorials for working with the lipid territories described in the Lipid Brain Atlas.

Lipid Brain Atlas Explorer

Browse the spatial distributions of brain lipids in the interactive atlas.

MuViT

Multi-resolution vision transformers for microscopy analysis.

lipiMap

Code for the lipiMap method accompanying the Lipid Brain Atlas.

Spotiflow

Deep learning-based spot detection for fluorescence microscopy with subpixel accuracy. For more information visit the Spotiflow GitHub.

uMAIA

Unified Mass Imaging Analyzer for spatial lipidomics. For more information visit the uMAIA GitHub

VeloCycle

Statistical inference with a manifold-constrained RNA velocity model. For more information visit the VeloCycle GitHub

velocyto

A package for the analysis of expression dynamics in single cell RNA seq data. For more information go to the velocyto homepage

cytograph

A tool for building analysis pipeline for big single cell RNA sequencing projects

loompy

Core implementation the standard format to store and work with single cell expression data. For more information go to the loompy homepage

nbregression

Negative binomial generalized linear model for single cell expression data

cmdstan-py

An alternative, lightweight, python interface to the Bayesian Modeling language Stan.

BackSPIN

Reference implementation of the clustering algorithm described in Zeisel et al. 2015

ceftools

An older file format designed to store smaller single-cell RNA seq datasets