Alternatives
Products that do what Cellpose-SAM WQuant does
Cell segmentation embedded into your microscope and phone
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2018 · bitbucket.org
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A simple R package which helps with annotation of single cell experiments such as single cell RNA-seq. With up and down regulated genes per cell cluster, the local LLM guesses the cell type annotation and creates an overall extensive report.
2024 · github.com
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For the past three years I've been building what I hope will be the next Blender, tackling the lack of any good 2D design or image editing tools outside the Adobe monopoly. This was our first year participating in Google Summer of Code and this Q3 update includes the big payoff from that, covering the most progress we've made so far as a project. If you're a Rust dev, consider getting involved as we apply for the next GSoC in the new year— you could be our intern next summer :) Q3 progress report: https://graphite.rs/blog/graphite-progress-report-q3-2024/
2024 · graphite.rs
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Neural CAs model self-organizing pattern formation. Now they can generate patterns at HD resolution in real-time, enabled by turning each CA cell into a Neural Field. Try 3 demos: grow a pattern from a seed (and damage it, it heals), synthesize PBR textures that can regenerate, or create 3D textures like clouds.
Jun 2026 · cells2pixels.github.io
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Generate images in bulk using ChatGPT's new image model
2025
- 11RT
I ported Microsoft's TRELLIS.2 (4B parameter image-to-3D model) to run on Apple Silicon via PyTorch MPS. The original requires CUDA with flash_attn, nvdiffrast, and custom sparse convolution kernels: none of which work on Mac. I replaced the CUDA-specific ops with pure-PyTorch alternatives: a gather-scatter sparse 3D convolution, SDPA attention for sparse transformers, and a Python-based mesh extraction replacing CUDA hashmap operations. Total changes are a few hundred lines across 9 files. Generates ~400K vertex meshes from single photos in about 3.5 minutes on M4 Pro (24GB). Not as fast as…
Apr 2026 · github.com
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Hey HN, just wanted to share a fun, vibe-coded Friday night experiment: a little playground for writing cellular automata in a subset of Rust, which is then compiled into WGSL. Since it lets you dynamically change parameters while the simulation is running via a TUI, it's easy to discover weird behaviors without remembering how you got there. If you press "s", it will save the complete history to a JSON file (a timeline of the parameters that were changed at given ticks), so you can replay it and regenerate the discovery. You can pan/zoom, and while the main simulation window is in…
Feb 2026 · github.com
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2017 · losttech.software
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2020 · cycell2d.com
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Hi HN - My name is Andrew, and I'm a high school student. This is a write-up on StratoSpore, a payload I designed and launched to the stratosphere. The goal was to test if we could estimate physical altitude based on algae fluorescence (using a lightweight ML model trained on the sensor data). The blog post covers the full engineering mess/process, including: - The Hardware: Designing PCBs for the AS7263 spectral sensor and Pi Zero 2 W. -The biological altimeter: How I tried to correlate biological stress (fluorescence) with altitude. - The Communications: A custom lossy compression…
Nov 2025 · radi8.dev
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Turn microscope photos into interactive 3D cells
Jun 2026 · cellforge.org
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LiveSplat is a system for turning RGBD camera streams into Gaussian splat scenes in real-time. The system works by passing all the RGBD frames into a feed forward neural net that outputs the current scene as Gaussian splats. These splats are then rendered in real-time. I've put together a demo video at the link above.
2025
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2014 · rileyjshaw.com
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