Agnik85 Profile Banner
Agnik Dasgupta Profile
Agnik Dasgupta

@Agnik85

Followers
212
Following
3K
Media
33
Statuses
605

Previously: Laboratory of Sensory Neuroscience, #HHMI #HudspethLab @RockefellerUniv; & Left-Right patterning @amacklab

Joined June 2010
Don't wanna be here? Send us removal request.
@Agnik85
Agnik Dasgupta
25 days
Green Babies Floating in Blue Clouds!
Tweet media one
0
1
4
@Agnik85
Agnik Dasgupta
3 days
RT @CampasLab: Excited to share the final version of the STRESS software paper šŸŽ‰ Do you want to measure cell or tissue stresses using defor….
Tweet card summary image
nature.com
Scientific Reports - STRESS, an automated geometrical characterization of deformable particles for in vivo measurements of cell and tissue mechanical stresses
0
13
0
@Agnik85
Agnik Dasgupta
3 days
RT @tobyandrews: Thrilled to see our latest work online @Dev_Cell! 🄳 . How do cells build functional organs with precision?šŸ«€šŸ«šŸ“ Here, we sh….
0
20
0
@Agnik85
Agnik Dasgupta
10 days
RT @truenorth_ia: I just published a video showing how to use Pixi and Napari-Easy-Augment-Batch-DL for reproducible deep learning segmenta….
0
11
0
@Agnik85
Agnik Dasgupta
14 days
RT @goguialonso: After years of work, our study is out in PNAS!.We preserved the active process ex vivo in the mammalian cochlea and show t….
Tweet card summary image
pnas.org
Hearing hinges upon the ear’s ability to enhance its responsiveness by means of an energy-expending active process that amplifies the very mechanic...
0
4
0
@Agnik85
Agnik Dasgupta
14 days
RT @NeilShubin: New from the lab! Announcing MORPHOVIEW a powerful tool to quantify in high throughput the 3D structures of cells and tissu….
0
19
0
@Agnik85
Agnik Dasgupta
1 month
RT @alxndrkalinin: šŸ”¬API-first feature extraction for image-based profiling workflows. If you need to obtain interpretable features from you….
0
7
0
@Agnik85
Agnik Dasgupta
1 month
RT @edyoshikun: Excited to share an update on #DynaCLR—a self-supervised method to learn dynamic cell & organelle embeddings from time-laps….
Tweet card summary image
arxiv.org
We report DynaCLR, a self-supervised method for embedding cell and organelle Dynamics via Contrastive Learning of Representations of time-lapse images. DynaCLR integrates single-cell tracking and...
0
10
0
@Agnik85
Agnik Dasgupta
1 month
RT @SaxenaLab: How an ol'factory' assembly line constantly manufactures neurons: Pleased to share our work in @stemcellreports, led by Srii….
0
4
0
@Agnik85
Agnik Dasgupta
1 month
RT @appy_anubhav: preprint: Using a combination of experiments and theory, we show that force patterning at apical junctions drives three-d….
0
6
0
@Agnik85
Agnik Dasgupta
1 month
RT @AI4LifeTeam: Ever wished your AI model could test itself before you download it? Now it can. AI4Life has a new model evaluation platfo….
0
7
0
@Agnik85
Agnik Dasgupta
2 months
RT @KavliFoundation: Meet Dr. Gaby Maimon, Director of the Kavli Neural Systems Institute. In his lab, he aims to push the boundaries of br….
0
2
0
@Agnik85
Agnik Dasgupta
2 months
RT @stevenstrogatz: This week’s guest on ā€œThe Joy of Whyā€ is my friend L. Mahadevan. The Maha that I knew a long time ago was thinking abou….
Tweet card summary image
quantamagazine.org
From brain folds to insect architecture, L. Mahadevan explains how complex biological forms and behaviors emerge through the interplay of physical forces, environment and embodiment.
0
36
0
@Agnik85
Agnik Dasgupta
2 months
RT @ZebrafishRock: Due to their aquatic environment, #zebrafish are perfect for small molecule drug screens. Many drugs have been repurpose….
0
15
0
@Agnik85
Agnik Dasgupta
2 months
RT @RockefellerUniv: Last week, several Rockefeller scientists stepped away from their lab benches to perform compositions by Brahms, Mende….
0
1
0
@Agnik85
Agnik Dasgupta
2 months
RT @chinta_tcgcrest: ā³ 1 WEEK LEFT!.Apply now for the fully-funded PhD programme at CHINTA, TCG CREST (Aug 2025 intake). Join us in pushing….
0
4
0
@Agnik85
Agnik Dasgupta
2 months
RT @E11BIO: E11 Bio is launching Volara: an open-source Python library for block-wise processing of large volumetric microscopy datasets!….
0
16
0