The Midnight Meat Train (2008)
Directed by Ryuhei Kitamura · Cinematography by Jonathan Sela
R100 min47 frames
HorrorMysteryFantasy
The most terrifying ride you'll ever take
Stills, screencaps & shots from The Midnight Meat Train
16 of 47 frames — the full set is searchable by lighting, lens, shot size, color and mood with a free account.
















The Midnight Meat Train — official trailer
What is The Midnight Meat Train about?
A photographer's obsessive pursuit of dark subject matter leads him into the path of a serial killer who stalks late night commuters, ultimately butchering them in the most gruesome ways.
Where can you watch The Midnight Meat Train?
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US availability for The Midnight Meat Train (2008). Data by JustWatch, listings on TMDB. Availability changes — check the provider for current listings.
Who stars in The Midnight Meat Train?
Who made The Midnight Meat Train?
What does the cinematography of The Midnight Meat Train look like?
Across 47 sampled frames, The Midnight Meat Train builds its coverage from medium shots (38% of the sample), with close-ups (32%) carrying much of the rest. Cinematographer Jonathan Sela keeps 83% of it in soft, low-key light. 87% of the frames play at night or in the failing light of dusk. Anamorphic glass shapes the frame. Focus stays shallow in 74% of the frames, isolating subjects from their surroundings.
What is the color palette of The Midnight Meat Train?
The dominant colors across the sampled frames of The Midnight Meat Train (2008) are #0e1010, #303230, #50524d, #1a292b, #364d4f, #6f716f — measured from the per-frame color data FrameThrower extracts for every film.
#0e1010#303230#50524d#1a292b#364d4f#6f716f
See the full The Midnight Meat Train colour palette — every hex with its share, plus warmth, saturation and luminance.
The Midnight Meat Train ranks in
A reference database for filmmakers
FrameThrower is a fully machine-searchable film database and visual reference library — all 47 frames of The Midnight Meat Train (2008), and 5,000+ films besides, indexed frame by frame and readable by AI. Search it in plain language, from a reference image, or by colour; call it from an API, an MCP server or an SDK. It's the reference layer for making the next movie.
Techniques in this film
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