ahns

Interesting; how do the examples compare to datashader?

Edit: for my use cases, I use napari (~1e7-8 points) if I need true interactivity; otherwise, datashader/holoviz, or even just fast-histogram's 2D histograms work.

For extremely large point clouds, these caveats[0] still apply. It irks me when people make dense scatterplots without any indication of just how dense some portions are.

Still, if it can indeed handle 1e10 points, that's pretty impressive.

[0]: https://datashader.org/user_guide/Plotting_Pitfalls.html

Hm, since I can't edit my comment: link to paper [0]

[0] https://pub.math.leidenuniv.nl/~smitbde/papers/2003-de_smit-...

One of Dutch artist M.C. Escher's works is a man is admiring a piece of art that itself depicts the building the (very same) man is in [0]. Escher left out the middle bit of the painting, probably since it's fairly complicated, putting his signature there instead. The video itself is about the complex analysis used to fill in that missing middle, based on a paper ~20 years ago.

[0] https://en.wikipedia.org/wiki/Print_Gallery_(M._C._Escher)

I'll just leave this here: https://en.wikipedia.org/wiki/Association_of_German_National...

In my limited experience with static cards you really do just end up learning the "appearance" of a card, which is why I've been more successful with dynamic cards, like say a card showing a concordance randomly selected from a large corpus every review, showing the word I want to learn in various contexts.

Ha, looks like it's finally been flagged.

The aforementioned trapezoidal rule (Tai's method): https://diabetesjournals.org/care/article/17/2/152/17985/A-M...

You may enjoy this, from a top-down experimental perspective (https://www.nikonsmallworld.com/galleries/small-world-in-mot...). Only a few entries so far show intracellular dynamics (like this one: https://www.nikonsmallworld.com/galleries/2024-small-world-i...), but I always enjoy the wide variety of dynamics some groups have been able to capture, like nervous system development (https://www.nikonsmallworld.com/galleries/2018-small-world-i...); absolutely incredible.

I suppose so, but this message from NOAA (https://www.ospo.noaa.gov/data/messages/2025/06/MSG_20250625...) shows a period of five days til shutdown, which seems extremely abrupt.

It's honestly impressive how efficiently and smoothly things are regressing.

To add to this, non-exhaustively, from various other places including reddit:

Krennic's meeting on kalkite:

* structured like the https://en.wikipedia.org/wiki/Wannsee_Conference

* takes place at the https://en.wikipedia.org/wiki/Kehlsteinhaus

the Aldhani heist: https://en.wikipedia.org/wiki/1907_Tiflis_bank_robbery

Ferrix: https://en.wikipedia.org/wiki/The_Troubles

Vel Sartha:

* https://en.wikipedia.org/wiki/Rose_Dugdale

* https://en.wikipedia.org/wiki/Dolours_Price

* https://en.wikipedia.org/wiki/Red_Army_Faction

Kleya Marki: https://en.wikipedia.org/wiki/Noor_Inayat_Khan

the Dhanis: https://en.wikipedia.org/wiki/S%C3%A1mi_people#Discriminatio...

escape from Narkina 5:

* https://en.wikipedia.org/wiki/Maze_Prison_escape

* https://en.wikipedia.org/wiki/Mauthausen_concentration_camp

* https://en.wikipedia.org/wiki/Sobibor_uprising

* https://en.wikipedia.org/wiki/Vrba%E2%80%93Wetzler_report

Rix Road:

* https://en.wikipedia.org/wiki/Haymarket_affair

* https://en.wikipedia.org/wiki/Corporals_killings

* https://en.wikipedia.org/wiki/Shireen_Abu_Akleh#Funeral

Mon Mothma's speech: https://en.wikipedia.org/wiki/Otto_Wels#Speech_in_opposition

Ghormans: https://en.wikipedia.org/wiki/French_Resistance

Ghorman massacre:

* https://en.wikipedia.org/wiki/Bloody_Sunday_(1972)

* https://en.wikipedia.org/wiki/Tlatelolco_massacre

* https://en.wikipedia.org/wiki/Jallianwala_Bagh_massacre

* https://en.wikipedia.org/wiki/Rabaa_massacre

* and perhaps https://en.wikipedia.org/wiki/Silesian_weavers%27_uprising

Obviously the comparisons aren't exact, but it's clear the show had a great many sources of inspiration (or maybe history rhymes as it always has).

Well... there is also https://en.wikipedia.org/wiki/Nobel_disease

Huh. I wonder what the difference is between this projection and the recentered [Nicolosi projection](https://en.wikipedia.org/wiki/Nicolosi_globular_projection), which has been around for way longer.

:/ [tell me about it...](https://paulbourke.net/dataformats/svs/)

As far as I know, not technically (although I haven't kept up in the area), but you can definitely sweep through a volumetric sample; there are microscopes that can for example illuminate a thin z-plane of a transparent sample and collect the image or those that can reject out-of-focus (off-z) light for a particular z-plane, then move to another z-plane, etc. and then generate a volume on the software side.

I work with microscopy data and we have to convert all the proprietary-but-still-readable-by-some-random-package image data generated by microscopy companies to ome-tiff/ome-zarr for it to be in a manageable format. I think it's great!

Every few months or so I come back to that article always in awe

Ha, that reminds me of authorship being determined by a few rounds of SSB:

https://www.frontiersin.org/articles/10.3389/fimmu.2021.6526...

For microscopy images, have you tried ashlar?

https://github.com/labsyspharm/ashlar

It may help to have the microscope stage positions available in the OME metadata.