{"id":10347,"title":"Test roll of Phoenix 200 - Leica M2, 35mm Ultron (info in caption)","author":"SMLElikeyoumeanit","permalink":"https://www.reddit.com/r/analog/comments/18ei25w/test_roll_of_phoenix_200_leica_m2_35mm_ultron/","description":"Here are some sample images, shot with a 85b warming filter @ 80 ISO, but equates to 100-125 ISO. I decided to use a warming filter as many examples I saw online looked quite cold, however I'm unsure how much of that was related to underexposure/scenario or the actual characteristics of the film.\n\nAs I had to shoot it at 80 ISO to compensate for the warming filter, most shots were F/5.6 @ 1/60th, which made shooting out in the streets a challenge when it came to any movement, or when zone focusing. \n\nAs others have pointed out, this film has very little dynamic range for the most part. The 2nd image for example was in a bright cafe, and the completely black background was actually a reasonably well lit area however this film captured quite literally no information at all!\n\nThe results felt like slide film to work with in Lightroom, I'd also say that in order to get anything consistent, it needs lots of light and low contrast scenes! Some of the other shots I've not shared were really grain heavy with some pretty wild colours when underexposure happened.\n\nFor various reasons, a good 60% of this roll was unusable, and that's with my low standards!\n\nI'll re-review the roll down the line when the best route for scanning becomes clear (given this film doesn't have an orange mask like others), however the results from my Nikon Coolscan 4000 seem to be reasonable.","score":304,"nsfw":false,"grayscale":false,"timestamp":1702141807,"sprocket":false,"images":[{"resolution":"low","url":"https://d3i73ktnzbi69i.cloudfront.net/a547f832-0af3-4cc7-9950-5ec3245e6eed.png","width":720,"height":720},{"resolution":"medium","url":"https://d3i73ktnzbi69i.cloudfront.net/203598cd-1e2d-4e51-82fa-08b947b40f6a.png","width":1080,"height":1080},{"resolution":"high","url":"https://d3i73ktnzbi69i.cloudfront.net/4524678f-2a9b-4bbe-a0a7-3aa5b6236e0d.png","width":1440,"height":1440},{"resolution":"raw","url":"https://d3i73ktnzbi69i.cloudfront.net/931cda60-b561-483f-96a1-d3e0b82bae9a.png","width":2550,"height":2550}],"colors":[{"hex":"#c09e6f","css":"darkkhaki","html":"brown","percent":0.37213709},{"hex":"#bd7736","css":"peru","html":"tan","percent":0.1941149},{"hex":"#523702","css":"saddlebrown","html":"brown","percent":0.17604493},{"hex":"#eee4dc","css":"antiquewhite","html":"white","percent":0.12038868},{"hex":"#000000","css":"black","html":"black","percent":0.0838368}],"keywords":[{"word":"uk","weight":0.05869546},{"word":"stocks","weight":0.03622747},{"word":"ilford","weight":0.03117652},{"word":"test","weight":0.03021858},{"word":"unforgiving","weight":0.02760603},{"word":"opportunity","weight":0.02751894},{"word":"clear","weight":0.02751894},{"word":"shanghai","weight":0.02751894},{"word":"chinese","weight":0.02751894},{"word":"scratch","weight":0.02751894},{"word":"recipe","weight":0.02751894},{"word":"products","weight":0.02751894},{"word":"future","weight":0.02751894},{"word":"market","weight":0.02751894},{"word":"white","weight":0.02255508},{"word":"black","weight":0.02255508},{"word":"new","weight":0.022468},{"word":"space","weight":0.022468},{"word":"unusable","weight":0.022468},{"word":"harman","weight":0.022468},{"word":"forgiving","weight":0.022468},{"word":"worried","weight":0.022468},{"word":"shadows","weight":0.022468},{"word":"contrast","weight":0.022468},{"word":"phoenix","weight":0.02159714},{"word":"ultron","weight":0.02151006},{"word":"caption","weight":0.02151006},{"word":"m2","weight":0.02151006},{"word":"leica","weight":0.02151006},{"word":"technicalities","weight":0.01741705},{"word":"banger","weight":0.01741705},{"word":"cinematic","weight":0.01741705},{"word":"weather","weight":0.01741705},{"word":"stock","weight":0.01384656},{"word":"halations","weight":0.01375947},{"word":"brand","weight":0.01375947},{"word":"stores","weight":0.01375947},{"word":"companies","weight":0.01375947},{"word":"examples","weight":0.00879561},{"word":"youtubers","weight":0.00870853},{"word":"solid","weight":0.00870853},{"word":"80iso","weight":0.00870853},{"word":"looks","weight":0.00870853},{"word":"square","weight":0.00870853},{"word":"portland","weight":0.00870853},{"word":"seattle","weight":0.00870853},{"word":"nicest","weight":0.00870853},{"word":"sharpest","weight":0.00870853},{"word":"success","weight":0.00870853},{"word":"calmness","weight":0.00008709}]}