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And she looks like the moon. So close and yet, so far.Future Islandsaim highmore quotes


In Silico Flurries: Computing a world of snow. Scientific American. 23 December 2017


Fonts + Design

Snellen Optotype Font with Upper and Lowercase characters

In the process of designing my Snellen Eye Chart typographical posters, I came across the Snellen font by Andrew Howlett. I wasn't happy with all the letters, so I made attempts at giving the font an update.

Not being a font designer, I will likely get myself into trouble.

snellen chart posters

While making my Snellen chart series, I entered the rabbit hole of optotype fonts ... and I can't get out!


Typographical posters of how the world works in the style of Snellen eye charts
 / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca buy artwork
A technically accurate Snellen chart using four genetic bases A T G C rendered as optotypes. The chart begins with the start codon ATG and ends in the stop codon TGA, which appears only once in the chart. Print at 16 in × 24 in. (BUY ARTWORK)

Typographical posters of how the world works in the style of Snellen eye charts
 / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca buy artwork
A technically accurate Snellen chart using the nautical flag alphabet rendered as optotypes. Print at 16 in × 24 in. (BUY ARTWORK)

The charts don't necessarily use the latest version of my Snellen font design, which fluctuates as my mood about some of the letters changes.

optotype fonts

The optotype requirement is that letters be designed on a 5 × 5 grid, and have constant stroke width. This means that both lower and upper case letters need to share the grid and stroke. To stay compatible with the eyechart paradigm, letters should be as obvious as possible.

Lorrie Frear's article What are Optotypes? Eye Charts in Focus is a great read about optotypes and eye charts.

Snellen Optotype Letter Design

uppercase

The uppercase letter design uses Herman Snellen's original chart as inspiration.

I have modified the design by Andrew Howlett (see below) for some letters. All the changes are relatively minor: more serifs and consistent stroke width for bars on R and K.

lowercase

The lowercase characters should be considered experimental.

The progress of my redesign is shown below. I would greatly appreciate feedback and suggestions!

Download Snellen Optotype Font

The distribution contains both Andrew's version and my redesign.

v7.0 6-mar-2017 — Download Snellen optotype font

version 7 — 6 Feb 2017

Fixed g and e. Thanks to Makeesha Fisher for suggestions.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Snellen optotype font (mk.v.7). Original design by Andrew Howlett (left) and my redesign (right), which includes both upper and lowercase letters as well as digits and symbols. (zoom, download Snellen optotype font)

version 6 — 5 Feb 2017

Adjusted serifs on f, j, l, o, t to extend the full width of the grid. Added a lot more symbols.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Snellen optotype font (mk.v.6). Original design by Andrew Howlett (left) and my redesign (right), which includes both upper and lowercase letters as well as digits and symbols. (zoom, download Snellen optotype font)

version 5 — 4 Feb 2017

Added lowercase, digits and symbols.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Snellen optotype font (mk.v.5). Original design by Andrew Howlett (left) and my redesign (right), which includes both upper and lowercase letters as well as digits and symbols. (zoom, download Snellen optotype font)

version 4 — 23 Feb 2017

Adding digits.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Snellen optotype font (mk.v.4). Original design by Andrew Howlett (left) and my redesign (right), which includes both upper and lowercase letters as well as digits. (zoom)

version 3 — 22 Feb 2017

I'm exploring the lowercase characters. I don't know what I want to do with them. Make this into a more standard font in which lowercase letters are smaller, so that letters can fit their roles clearly when text is set in sentence case, or fill out the full optotype grid.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Snellen optotype font (mk.v.3). Original design by Andrew Howlett (left) and my redesign (right), which includes both upper and lowercase letters. (zoom)

version 2 — 22 Feb 2017

Flushed out some inconsistencies in the uppercase characters. Added serifs to more letters.

Now all the letters occuppy the full 5 × 5 grid, including the I, whose serifs were widened to allow this. While this new uppercase I isn't as pretty as the old one, it makes the entire typeface more consistent to its optotype roots.

Still struggling with the G. In the original version, the descending stroke was cut off in the middle of a grid, which I didn't like.

The S has been fixed—thanks to Elanor Lutz for feedback.

I've color coded the characters slightly differently, drawing attention to ones that I feel need more thought.

The lowercase characters aren't color coded (yet) because ... most of them need help. Primarily, I'm vacillating between making them fill the full size of the 5 × 5 square, just like the uppercase characters, and keeping them confined to a 4 × 4 square, which incurs loss of legibility. If I make the letters the same size, it will be impossible to distinguish lowercase and uppercase characters some cases (e.g. c, i). Perhaps this is desired?

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Snellen optotype font (mk.v.2). Original design by Andrew Howlett (left) and my redesign (right), which includes both upper and lowercase letters. (zoom)

version 1 — 22 Feb 2017

First attempt at lowercase characters.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Snellen optotype font (mk.v.1). Original design by Andrew Howlett (left) and my redesign (right), which includes both upper and lowercase letters. (zoom, download font)
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news + thoughts

Machine learning: supervised methods (SVM & kNN)

Thu 18-01-2018
Supervised learning algorithms extract general principles from observed examples guided by a specific prediction objective.

We examine two very common supervised machine learning methods: linear support vector machines (SVM) and k-nearest neighbors (kNN).

SVM is often less computationally demanding than kNN and is easier to interpret, but it can identify only a limited set of patterns. On the other hand, kNN can find very complex patterns, but its output is more challenging to interpret.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Nature Methods Points of Significance column: Machine learning: supervised methods (SVM & kNN). (read)

We illustrate SVM using a data set in which points fall into two categories, which are separated in SVM by a straight line "margin". SVM can be tuned using a parameter that influences the width and location of the margin, permitting points to fall within the margin or on the wrong side of the margin. We then show how kNN relaxes explicit boundary definitions, such as the straight line in SVM, and how kNN too can be tuned to create more robust classification.

Bzdok, D., Krzywinski, M. & Altman, N. (2018) Points of Significance: Machine learning: a primer. Nature Methods 15:5–6.

Background reading

Bzdok, D., Krzywinski, M. & Altman, N. (2017) Points of Significance: Machine learning: a primer. Nature Methods 14:1119–1120.

...more about the Points of Significance column

Human Versus Machine

Tue 16-01-2018
Balancing subjective design with objective optimization.

In a Nature graphics blog article, I present my process behind designing the stark black-and-white Nature 10 cover.

Nature 10, 18 December 2017

Machine learning: a primer

Thu 18-01-2018
Machine learning extracts patterns from data without explicit instructions.

In this primer, we focus on essential ML principles— a modeling strategy to let the data speak for themselves, to the extent possible.

The benefits of ML arise from its use of a large number of tuning parameters or weights, which control the algorithm’s complexity and are estimated from the data using numerical optimization. Often ML algorithms are motivated by heuristics such as models of interacting neurons or natural evolution—even if the underlying mechanism of the biological system being studied is substantially different. The utility of ML algorithms is typically assessed empirically by how well extracted patterns generalize to new observations.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Nature Methods Points of Significance column: Machine learning: a primer. (read)

We present a data scenario in which we fit to a model with 5 predictors using polynomials and show what to expect from ML when noise and sample size vary. We also demonstrate the consequences of excluding an important predictor or including a spurious one.

Bzdok, D., Krzywinski, M. & Altman, N. (2017) Points of Significance: Machine learning: a primer. Nature Methods 14:1119–1120.

...more about the Points of Significance column

Snowflake simulation

Tue 16-01-2018
Symmetric, beautiful and unique.

Just in time for the season, I've simulated a snow-pile of snowflakes based on the Gravner-Griffeath model.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
A few of the beautiful snowflakes generated by the Gravner-Griffeath model. (explore)

The work is described as a wintertime tale in In Silico Flurries: Computing a world of snow and co-authored with Jake Lever in the Scientific American SA Blog.

Gravner, J. & Griffeath, D. (2007) Modeling Snow Crystal Growth II: A mesoscopic lattice map with plausible dynamics.

Genes that make us sick

Wed 22-11-2017
Where disease hides in the genome.

My illustration of the location of genes in the human genome that are implicated in disease appears in The Objects that Power the Global Economy, a book by Quartz.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
The location of genes implicated in disease in the human genome, shown here as a spiral. (more...)